subject:(Sensor Fusion)

University of Technology, Sydney

1. Takruri, MSR. Data fusion in wireless sensor networks.

Degree: 2009, University of Technology, Sydney

► Wireless Sensor Networks (WSNs) are deployed for the purpose of monitoring an area of interest. Even when the sensors are properly calibrated at the time… (more)

▼ Wireless Sensor Networks (WSNs) are deployed for the purpose of monitoring an area of interest. Even when the sensors are properly calibrated at the time of deployment, they develop drift in their readings leading to erroneous network inferences. Traditionally, such errors are corrected by site visits where the sensors are calibrated against an accurately calibrated sensor. For large scale sensor networks, the process is manually intensive and economically infeasible. This imposes finding automatic procedures for continuous calibration. Noting that a physical phenomenon in a certain area follows some spatio-temporal correlation, we assume that the sensors readings in that area are correlated. We also assume that measurement errors due to faulty equipment are likely to be uncorrelated. Based on these assumptions, we follow a Bayesian framework to solve the drift and bias problem in WSNs. In the case of densely deployed WSN, neighbouring sensors are assumed to be close to each other that they observe the same phenomenon. Hence, the average of their corrected readings is taken as a basis for each sensor to self-assess its measurement, estimate its drift and to correct the measurement using a Kalman Filter (KF) in the case of smooth drift, and the Interacting Multiple Model algorithm (IMM) in the case of unsmooth drift. The solutions are computationally simple, decentralised and also scalable. Any new node joining the neighbourhood needs only to obtain the corrected readings of its neighbours to find the average and apply the KF iterative procedure. On the other hand, when the sensors are not densely deployed, Support Vector Regression (SVR) is used to model the interrelationships of sensor measurements in a neighbourhood. This enables the incorporation of the spatio-temporal correlation of neighbouring sensors, to predict future measurements. The SVR predicted value is used by a KF to estimate the actual drift and correct the measurement. Unfortunately, the KF introduces some system errors when used with nonlinear systems. The use of Unscented Kalman filter (UKF) instead, considerably reduces the system error and results in a better drift correction. The use of IMM with the SVRUKF framework allows for reducing the sampling rate which eventually reduces the communication overhead among the sensors and saves the communication energy. In this thesis, we present several solutions for the random and systematic (drift and bias) errors in sensors measurements, for different sensor deployment scenarios. We also consider two drift scenarios, namely smooth and unsmooth drifts. We evaluate the presented algorithms on simulated and real data obtained from the Intel Berkeley Research Laboratory sensor deployment. The results show that our algorithms successfully detect and correct systematic errors (drift and bias) developed in sensors and filters out the noise. Thereby, prolonging the effective lifetime of the network.

Subjects/Keywords: Wireless sensor networks.; Data fusion.

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APA (6^th Edition):

Takruri, M. (2009). Data fusion in wireless sensor networks. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/30253

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Takruri, MSR. “Data fusion in wireless sensor networks.” 2009. Thesis, University of Technology, Sydney. Accessed August 23, 2019. http://hdl.handle.net/10453/30253.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Takruri, MSR. “Data fusion in wireless sensor networks.” 2009. Web. 23 Aug 2019.

Vancouver:

Takruri M. Data fusion in wireless sensor networks. [Internet] [Thesis]. University of Technology, Sydney; 2009. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10453/30253.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Takruri M. Data fusion in wireless sensor networks. [Thesis]. University of Technology, Sydney; 2009. Available from: http://hdl.handle.net/10453/30253

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Technology, Sydney

2. Alempijevic, Alen. Mutual information strategies for sensor registration.

Degree: 2009, University of Technology, Sydney

URL: http://hdl.handle.net/10453/20329

► This thesis is concerned with relating information originating from disparate sensors by exploring the statistical dependence between multiple time domain signals that occur as a… (more)

▼ This thesis is concerned with relating information originating from disparate sensors by exploring the statistical dependence between multiple time domain signals that occur as a result of a common cause influencing outputs of the sensors. Relating the signals without any attempt to model the environment or the behaviour of any particular object within it is the main focus of this work as scenarios where sufficient a-priori knowledge is not available is of primary interest. Mutual Information (MI) is selected as a suitable metric for determining statistical dependence mainly due to its ability to identify nonlinear high order e ects, and due to its ability to deal with multi-dimensional input signals with relative ease. Inspired by human perception, the focus will be on observing objects moving in space using sensors that operate based on different physical principles and the fact that motion has in principle, greater power to specify properties of an object than purely spatial information captured as a single observation in time. Our first intention is to utilise the dependence between variables to aid active sensing. The second objective is that of multi-sensor, multi-object tracking which is a challenging problem in large part because of the need to solve the embedded problem of data association, which is the task of relating the measurements from different sensors that correspond to the same object. The contribution of this thesis include the development of a novel strategy for detecting the set of signals that are statistically dependent and correspond to each other from two large multi-dimensional signal streams. The technique is based on deriving a linear mapping that maximises MI between the signal streams in two-dimensional space. The mapping is obtained by an iterative process that maximises MI through using analytical expressions of the gradients of three measures equivalent to two individual entropies and one joint entropy of the signal streams, while at the same time regularising the coefficients of the mapping using L1 and L2 norms. Thus a sparse linear mapping that makes it possible to identify the most mutually informative signal pairings, without the need for exhaustive pair-wise comparisons is obtained. This results in a common multimodal data association methodology, which could be extended to a wide range of sensors with different modalities. The techniques developed are extensively analysed through a series of simulations and experiments. The approach is demonstrated on registration of sensors with disparate modalities, registration of sensors on moving observers and target grouping.

Subjects/Keywords: Sensor modalities.; Multisensor data fusion.

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APA (6^th Edition):

Alempijevic, A. (2009). Mutual information strategies for sensor registration. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/20329

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Alempijevic, Alen. “Mutual information strategies for sensor registration.” 2009. Thesis, University of Technology, Sydney. Accessed August 23, 2019. http://hdl.handle.net/10453/20329.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Alempijevic, Alen. “Mutual information strategies for sensor registration.” 2009. Web. 23 Aug 2019.

Vancouver:

Alempijevic A. Mutual information strategies for sensor registration. [Internet] [Thesis]. University of Technology, Sydney; 2009. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10453/20329.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alempijevic A. Mutual information strategies for sensor registration. [Thesis]. University of Technology, Sydney; 2009. Available from: http://hdl.handle.net/10453/20329

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Sampaio, Luiz Gustavo Moreira. Robust Orientation Estimation of a Mobile Camera for Interaction with Large Displays : 大画面ディスプレイに対するインタラクションのためのモバイルカメラの頑強な姿勢推定; ダイガメンディスプレイニタイスルインタラクションノタメノモバイルカメラノガンキョウナシセイスイテイ.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

URL: http://hdl.handle.net/10061/10440

Subjects/Keywords: Sensor Fusion

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APA (6^th Edition):

Sampaio, L. G. M. (n.d.). Robust Orientation Estimation of a Mobile Camera for Interaction with Large Displays : 大画面ディスプレイに対するインタラクションのためのモバイルカメラの頑強な姿勢推定; ダイガメンディスプレイニタイスルインタラクションノタメノモバイルカメラノガンキョウナシセイスイテイ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/10440

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sampaio, Luiz Gustavo Moreira. “Robust Orientation Estimation of a Mobile Camera for Interaction with Large Displays : 大画面ディスプレイに対するインタラクションのためのモバイルカメラの頑強な姿勢推定; ダイガメンディスプレイニタイスルインタラクションノタメノモバイルカメラノガンキョウナシセイスイテイ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed August 23, 2019. http://hdl.handle.net/10061/10440.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sampaio, Luiz Gustavo Moreira. “Robust Orientation Estimation of a Mobile Camera for Interaction with Large Displays : 大画面ディスプレイに対するインタラクションのためのモバイルカメラの頑強な姿勢推定; ダイガメンディスプレイニタイスルインタラクションノタメノモバイルカメラノガンキョウナシセイスイテイ.” Web. 23 Aug 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Sampaio LGM. Robust Orientation Estimation of a Mobile Camera for Interaction with Large Displays : 大画面ディスプレイに対するインタラクションのためのモバイルカメラの頑強な姿勢推定; ダイガメンディスプレイニタイスルインタラクションノタメノモバイルカメラノガンキョウナシセイスイテイ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10061/10440.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Sampaio LGM. Robust Orientation Estimation of a Mobile Camera for Interaction with Large Displays : 大画面ディスプレイに対するインタラクションのためのモバイルカメラの頑強な姿勢推定; ダイガメンディスプレイニタイスルインタラクションノタメノモバイルカメラノガンキョウナシセイスイテイ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/10440

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Linköping University

4. Alsén, Victoria. GNSS Aided Inertial Human Body Motion Capture.

Degree: Automatic Control, 2016, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133291

► Human body motion capture systems based on inertial sensors (gyroscopes andaccelerometers) are able to track the relative motions in the body precisely, oftenwith the… (more)

▼ Human body motion capture systems based on inertial sensors (gyroscopes andaccelerometers) are able to track the relative motions in the body precisely, oftenwith the aid of supplementary sensors. The sensor measurements are combinedthrough a sensor fusion algorithm to create estimates of, among other parame-ters, position, velocity and orientation for each body segment. As this algorithmrequires integration of noisy measurements, some drift, especially in the positionestimate, is expected. Taking advantage of the knowledge about the tracked sub-ject, a human body, models have been developed that improve the estimates, butposition still displays drift over time.In this thesis, a GNSS receiver is added to the motion capture system to givea drift-free measurement of the position as well as a velocity measurement. Theinertial data and the GNSS data complements each other well, particularly interms of observability of global and relative motions. To enable the models of thehuman body at an early stage of the fusion of sensor data, an optimization basedmaximum a posteriori algorithm was used, which is also better suited for thenonlinear system tracked compared to the conventional method of using Kalmanfilters.One of the models that improves the position estimate greatly, without addingadditional sensing, is the contact detection, with which the velocity of a segmentis set to zero whenever it is considered stationary in comparison to the surround-ing environment, e.g. when a foot touches the ground. This thesis looks at botha scenario when this contact detection can be applied and a scenario where itcannot be applied, to see what possibilities an addition of GNSS sensor couldbring to the human body motion tracking case. The results display a notable im-provement in position, both with and without contact detection. Furthermore,the heading estimate is improved at a full-body scale and the solution makes theestimates depend less on acceleration bias estimation.These results show great potential for more accurate estimates outdoors andcould prove valuable for enabling motion tracking of scenarios where the contactdetection model cannot be used, such as e.g. biking.

Subjects/Keywords: sensor fusion; GNSS; IMU

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APA (6^th Edition):

Alsén, V. (2016). GNSS Aided Inertial Human Body Motion Capture. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133291

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Alsén, Victoria. “GNSS Aided Inertial Human Body Motion Capture.” 2016. Thesis, Linköping University. Accessed August 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133291.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Alsén, Victoria. “GNSS Aided Inertial Human Body Motion Capture.” 2016. Web. 23 Aug 2019.

Vancouver:

Alsén V. GNSS Aided Inertial Human Body Motion Capture. [Internet] [Thesis]. Linköping University; 2016. [cited 2019 Aug 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133291.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alsén V. GNSS Aided Inertial Human Body Motion Capture. [Thesis]. Linköping University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133291

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

5. Howarth, Blair David Sidney. Real time 3D mapping for small wall climbing robots.

Degree: Mechanical & Manufacturing Engineering, 2012, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/51598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10265/SOURCE02?view=true

► Small wall climbing robots are useful because they can access difficult environmentswhich preclude the use of more traditional mobile robot configurations. This couldinclude an industrial… (more)

▼ Small wall climbing robots are useful because they can access difficult environmentswhich preclude the use of more traditional mobile robot configurations. This couldinclude an industrial plant or collapsed building which contains numerous obstaclesand enclosed spaces. These robots are very agile and they can move fully throughthree dimensional (3D) space by attaching to nearby surfaces. For autonomous operation,they need the ability to map their environment to allow navigation and motionplanning between footholds. This surface mapping must be performed onboard asline-of-sight and wireless communication may not always be available.As most of the methods used for robotic mapping and navigation were developedfor two dimensional usage, they do not scale well or generalise for 3D operation.Wall climbing robots require a 3D map of nearby surfaces to facilitate navigationbetween footholds. However, no suitable mapping method currently exists. A 3Dsurface mapping methodology is presented in this thesis to meet this need.The presented 3D mapping method is based on the fusion of range and visioninformation in a novel fashion. Sparse scans from a laser range finder and a lowresolution camera are used, along with feature extraction, to significantly reducethe computational cost. These features are then grouped together to act as a basisfor the surface fitting. Planar surfaces, with full uncertainty, are generated fromthe grouped range features with the image features being used to generate planarpolygon boundaries. These surfaces are then merged together to build a 3D mapsurrounding a particular foothold position.Both experimental and simulated datasets are used to validate the presentedsurface mapping method. The surface fitting error is satisfactory and within therequired tolerances of a wall climbing robot prototype. An analysis of the computationalcost, along with experimental runtime results, indicates that onboard realtime operation is also achievable. The presented surface mapping methodology willtherefore allow small wall climbing robots to generate real time 3D environmentalmaps. This is an important step towards achieving autonomous operation. Advisors/Committee Members: Katupitiya, Jayantha, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW, Guivant, Jose, Mechanical & Manufacturing Engineering, Faculty of Engineering, UNSW.

Subjects/Keywords: Sensor Fusion; 3D Mapping; Robotics

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APA (6^th Edition):

Howarth, B. D. S. (2012). Real time 3D mapping for small wall climbing robots. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10265/SOURCE02?view=true

Chicago Manual of Style (16^th Edition):

Howarth, Blair David Sidney. “Real time 3D mapping for small wall climbing robots.” 2012. Doctoral Dissertation, University of New South Wales. Accessed August 23, 2019. http://handle.unsw.edu.au/1959.4/51598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10265/SOURCE02?view=true.

MLA Handbook (7^th Edition):

Howarth, Blair David Sidney. “Real time 3D mapping for small wall climbing robots.” 2012. Web. 23 Aug 2019.

Vancouver:

Howarth BDS. Real time 3D mapping for small wall climbing robots. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2019 Aug 23]. Available from: http://handle.unsw.edu.au/1959.4/51598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10265/SOURCE02?view=true.

Council of Science Editors:

Howarth BDS. Real time 3D mapping for small wall climbing robots. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/51598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10265/SOURCE02?view=true

University of Illinois – Urbana-Champaign

6. Naisbitt, Jeffrey D. Reliable location sensing through multi-sensor fusion, dynamic weighting, and confidence mapping.

Degree: MS, 0112, 2010, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/14686

► Ubiquitous computing environments provide multitudes of technologies seamlessly augmented with physical systems to aid users in everyday tasks. In order for these systems to be… (more)

Subjects/Keywords: location-sensing; tracking; sensor fusion

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APA (6^th Edition):

Naisbitt, J. D. (2010). Reliable location sensing through multi-sensor fusion, dynamic weighting, and confidence mapping. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14686

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Naisbitt, Jeffrey D. “Reliable location sensing through multi-sensor fusion, dynamic weighting, and confidence mapping.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed August 23, 2019. http://hdl.handle.net/2142/14686.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Naisbitt, Jeffrey D. “Reliable location sensing through multi-sensor fusion, dynamic weighting, and confidence mapping.” 2010. Web. 23 Aug 2019.

Vancouver:

Naisbitt JD. Reliable location sensing through multi-sensor fusion, dynamic weighting, and confidence mapping. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/2142/14686.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Naisbitt JD. Reliable location sensing through multi-sensor fusion, dynamic weighting, and confidence mapping. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14686

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Sydney

7. Morton, Peter Michael. Multi-target tracking using appearance models for identity maintenance .

Degree: 2014, University of Sydney

URL: http://hdl.handle.net/2123/11644

► This thesis considers perception systems for urban environments. It focuses on the task of tracking dynamic objects and in particular on methods that can maintain… (more)

Subjects/Keywords: Robotics; Tracking; Sensor fusion

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APA (6^th Edition):

Morton, P. M. (2014). Multi-target tracking using appearance models for identity maintenance . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/11644

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Morton, Peter Michael. “Multi-target tracking using appearance models for identity maintenance .” 2014. Thesis, University of Sydney. Accessed August 23, 2019. http://hdl.handle.net/2123/11644.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Morton, Peter Michael. “Multi-target tracking using appearance models for identity maintenance .” 2014. Web. 23 Aug 2019.

Vancouver:

Morton PM. Multi-target tracking using appearance models for identity maintenance . [Internet] [Thesis]. University of Sydney; 2014. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/2123/11644.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Morton PM. Multi-target tracking using appearance models for identity maintenance . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/11644

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

8. Laird, John. Modelling the impact of sensor placement and fusion for traffic monitoring.

Degree: Computer Science & Engineering, 2013, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true

► This thesis develops models to evaluate the impact of multi-modal sensor placement configurations on obtaining traffic parameters required for a variety of traffic monitoring and… (more)

▼ This thesis develops models to evaluate the impact of multi-modal sensor placement configurations on obtaining traffic parameters required for a variety of traffic monitoring and management applications.Existing traffic management strategies generally rely on the commonly used induction loop sensors, which are highly accurate presence detectors, however they have a limited sensing area. Alternate sensor modalities may provide a higher information gain in comparison, especially vision based sensors. An inherent problem with using vision based sensors in traffic management is the occlusion between vehicles, which can make detection of individual vehicles difficult.Information fusion from multiple sensors provides much richer information for scene understanding, leading to a greater ability to coordinate traffic management efficiently. Thus, effective sensor placement and fusion of data can improve the efficiency of traffic management. The aim of this thesis is to evaluate the impact of multi-modal sensor placement, and as a result improve the estimation accuracy of road traffic parameters obtained from various sensor configurations. More specifically, vision based sensors are studied, and later fused with inductive loops.In order to achieve this, models are developed to simulate various traffic flows, and to ensure consistency and relevance of the simulations to real world traffic. Models for single sensor modality and multi-modal sensor fusion are developed and are also validated. These models enable evaluation of sensor placement configurations to determine effectiveness for specific traffic applications.Results of various single sensor configurations demonstrate that the impact of view occlusion on the ability to detect vehicles can be improved by considering sensor placement. Combining inductive loops and video cameras by sensor fusion was found to overcome the problem of occlusion, resulting in a decided improvement in parameter estimation for traffic management and monitoring applications. For example, the sensor fusion models developed resulted in the queue length estimation accuracy being improved by up to 20%. Finally, by applying the models presented in this thesis to current ramp metering strategies, viable alternative sensor deployment solutions are recommended. Advisors/Committee Members: Chou, Chun Tung, Computer Science & Engineering, Faculty of Engineering, UNSW, Geers, D. Glenn, NICTA, Wang, Yang, NICTA.

Subjects/Keywords: Traffic management; Sensor placement; Sensor fusion

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APA (6^th Edition):

Laird, J. (2013). Modelling the impact of sensor placement and fusion for traffic monitoring. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true

Chicago Manual of Style (16^th Edition):

Laird, John. “Modelling the impact of sensor placement and fusion for traffic monitoring.” 2013. Doctoral Dissertation, University of New South Wales. Accessed August 23, 2019. http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true.

MLA Handbook (7^th Edition):

Laird, John. “Modelling the impact of sensor placement and fusion for traffic monitoring.” 2013. Web. 23 Aug 2019.

Vancouver:

Laird J. Modelling the impact of sensor placement and fusion for traffic monitoring. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2019 Aug 23]. Available from: http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true.

Council of Science Editors:

Laird J. Modelling the impact of sensor placement and fusion for traffic monitoring. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true

Arizona State University

9. Liu, Yangzi. Multimodal Movement Sensing using Motion Capture and Inertial Sensors for Mixed-Reality Rehabilitation.

Degree: MS, Electrical Engineering, 2010, Arizona State University

URL: http://repository.asu.edu/items/8665

► This thesis presents a multi-modal motion tracking system for stroke patient rehabilitation. This system deploys two sensor modules: marker-based motion capture system and inertial measurement… (more)

Subjects/Keywords: Engineering; Inertial Sensor; Movement Sensing; Sensor Fusion

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APA (6^th Edition):

Liu, Y. (2010). Multimodal Movement Sensing using Motion Capture and Inertial Sensors for Mixed-Reality Rehabilitation. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/8665

Chicago Manual of Style (16^th Edition):

Liu, Yangzi. “Multimodal Movement Sensing using Motion Capture and Inertial Sensors for Mixed-Reality Rehabilitation.” 2010. Masters Thesis, Arizona State University. Accessed August 23, 2019. http://repository.asu.edu/items/8665.

MLA Handbook (7^th Edition):

Liu, Yangzi. “Multimodal Movement Sensing using Motion Capture and Inertial Sensors for Mixed-Reality Rehabilitation.” 2010. Web. 23 Aug 2019.

Vancouver:

Liu Y. Multimodal Movement Sensing using Motion Capture and Inertial Sensors for Mixed-Reality Rehabilitation. [Internet] [Masters thesis]. Arizona State University; 2010. [cited 2019 Aug 23]. Available from: http://repository.asu.edu/items/8665.

Council of Science Editors:

Liu Y. Multimodal Movement Sensing using Motion Capture and Inertial Sensors for Mixed-Reality Rehabilitation. [Masters Thesis]. Arizona State University; 2010. Available from: http://repository.asu.edu/items/8665

10. Sentkerestiová Jana. Development of Hall sensors for steady state magnetic diagnostic of fusion reactors .

Degree: 2014, Czech University of Technology

URL: http://hdl.handle.net/10467/20229

Hall sensors development and evaluation for fusion reactors; Hall sensors development and evaluation for fusion reactors Advisors/Committee Members: Ďuran Ivan (advisor).

Subjects/Keywords: Hall sensor; magnetic diagnostics; fusion reators; ITER

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APA (6^th Edition):

Jana, S. (2014). Development of Hall sensors for steady state magnetic diagnostic of fusion reactors . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/20229

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Jana, Sentkerestiová. “Development of Hall sensors for steady state magnetic diagnostic of fusion reactors .” 2014. Thesis, Czech University of Technology. Accessed August 23, 2019. http://hdl.handle.net/10467/20229.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Jana, Sentkerestiová. “Development of Hall sensors for steady state magnetic diagnostic of fusion reactors .” 2014. Web. 23 Aug 2019.

Vancouver:

Jana S. Development of Hall sensors for steady state magnetic diagnostic of fusion reactors . [Internet] [Thesis]. Czech University of Technology; 2014. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10467/20229.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jana S. Development of Hall sensors for steady state magnetic diagnostic of fusion reactors . [Thesis]. Czech University of Technology; 2014. Available from: http://hdl.handle.net/10467/20229

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

11. Liu, Kaibo. Data fusion for system modeling, performance assessment and improvement.

Degree: PhD, Industrial and Systems Engineering, 2013, Georgia Tech

URL: http://hdl.handle.net/1853/52937

► Due to rapid advancements in sensing and computation technology, multiple types of sensors have been embedded in various applications, on-line automatically collecting massive production information.… (more)

▼ Due to rapid advancements in sensing and computation technology, multiple types of sensors have been embedded in various applications, on-line automatically collecting massive production information. Although this data-rich environment provides great opportunity for more effective process control, it also raises new research challenges on data analysis and decision making due to the complex data structures, such as heterogeneous data dependency, and large-volume and high-dimensional characteristics. This thesis contributes to the area of System Informatics and Control (SIAC) to develop systematic data fusion methodologies for effective quality control and performance improvement in complex systems. These advanced methodologies enable (1) a better handling of the rich data environment communicated by complex engineering systems, (2) a closer monitoring of the system status, and (3) a more accurate forecasting of future trends and behaviors. The research bridges the gaps in methodologies among advanced statistics, engineering domain knowledge and operation research. It also forms close linkage to various application areas such as manufacturing, health care, energy and service systems. This thesis started from investigating the optimal sensor system design and conducting multiple sensor data fusion analysis for process monitoring and diagnosis in different applications. In Chapter 2, we first studied the couplings or interactions between the optimal design of a sensor system in a Bayesian Network and quality management of a manufacturing system, which can improve cost-effectiveness and production yield by considering sensor cost, process change detection speed, and fault diagnosis accuracy in an integrated manner. An algorithm named “Best Allocation Subsets by Intelligent Search” (BASIS) with optimality proof is developed to obtain the optimal sensor allocation design at minimum cost under different user specified detection requirements. Chapter 3 extended this line of research by proposing a novel adaptive sensor allocation framework, which can greatly improve the monitoring and diagnosis capabilities of the previous method. A max-min criterion is developed to manage sensor reallocation and process change detection in an integrated manner. The methodology was tested and validated based on a hot forming process and a cap alignment process. Next in Chapter 4, we proposed a Scalable-Robust-Efficient Adaptive (SERA) sensor allocation strategy for online high-dimensional process monitoring in a general network. A monitoring scheme of using the sum of top-r local detection statistics is developed, which is scalable, effective and robust in detecting a wide range of possible shifts in all directions. This research provides a generic guideline for practitioners on determining (1) the appropriate sensor layout; (2) the “ON” and “OFF” states of different sensors; and (3) which part of the acquired data should be transmitted to and analyzed at the fusion center, when only limited resources are available. To improve the… Advisors/Committee Members: Shi, Jianjun (advisor), Gebraeel, Nagi (committee member), Mei, Yajun (committee member), Kvam, Paul (committee member), Li, Jing (committee member).

Subjects/Keywords: Data fusion; Multiple Sensors; Sensor allocation; Prognostics

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APA (6^th Edition):

Liu, K. (2013). Data fusion for system modeling, performance assessment and improvement. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52937

Chicago Manual of Style (16^th Edition):

Liu, Kaibo. “Data fusion for system modeling, performance assessment and improvement.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 23, 2019. http://hdl.handle.net/1853/52937.

MLA Handbook (7^th Edition):

Liu, Kaibo. “Data fusion for system modeling, performance assessment and improvement.” 2013. Web. 23 Aug 2019.

Vancouver:

Liu K. Data fusion for system modeling, performance assessment and improvement. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/1853/52937.

Council of Science Editors:

Liu K. Data fusion for system modeling, performance assessment and improvement. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52937

Penn State University

12. Wen, Yicheng. Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach.

Degree: PhD, Mechanical Engineering, 2011, Penn State University

URL: https://etda.libraries.psu.edu/catalog/12213

► This dissertation presents a framework for feature-level heterogeneous sensor data fusion in sensor networks via a language-theoretic approach. Probabilistic finite state automata (PFSA) are used… (more)

▼ This dissertation presents a framework for feature-level heterogeneous sensor data fusion in sensor networks via a language-theoretic approach. Probabilistic finite state automata (PFSA) are used to model the semantic patterns in the observations of the sensors. A novel pattern discovery algorithm is developed to extract the PFSA model from symbol sequences. It is shown that this algorithm can capture semantic structures more effectively than the existing techniques. In order to formulate the data fusion problem for semantic features, a link is established between the formal language theory and functional analysis by constructing a Hilbert space over a class of stochastic regular languages represented by PFSA. New algebraic operations are defined for PFSA with a family of parametrized inner products. The norm induced by the inner product is interpreted as a measure of the information contained in PFSA. Applications of this technique are discussed in the following areas: a) Orthogonal projection in the Hilbert space to solve the model reduction problem of PFSA. Numerical examples and experimental results are provided to elucidate the process of model order reduction. b) Supervised learning of semantic features of heterogeneous sensor data in the product Hilbert space. The semantic features are combined optimally for classification using linear discriminant analysis (LDA). The proposed algorithm has a set of parameters that can be potentially configured by the users to adapt the algorithm to environment changes. The proposed algorithm is validated for object recognition at the US-Mexican border. An architecture of fusion-driven sensor networks is introduced to incorporate the proposed fusion framework in sensor networks. The network protocol, called dynamic time-space clustering (DSTC), and its heterogeneous version, are designed to adapt the network to the fusion algorithms. A sensor network for selectively tracking mobile targets is implemented in the network simulator NS-2 for both homogeneous and heterogeneous sensor fields in an urban scenario for validating the propose architecture.

Subjects/Keywords: wireless sensor network; pattern recognition; Information fusion

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APA (6^th Edition):

Wen, Y. (2011). Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12213

Chicago Manual of Style (16^th Edition):

Wen, Yicheng. “Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach.” 2011. Doctoral Dissertation, Penn State University. Accessed August 23, 2019. https://etda.libraries.psu.edu/catalog/12213.

MLA Handbook (7^th Edition):

Wen, Yicheng. “Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach.” 2011. Web. 23 Aug 2019.

Vancouver:

Wen Y. Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach. [Internet] [Doctoral dissertation]. Penn State University; 2011. [cited 2019 Aug 23]. Available from: https://etda.libraries.psu.edu/catalog/12213.

Council of Science Editors:

Wen Y. Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach. [Doctoral Dissertation]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/12213

University of California – Santa Cruz

13. Bruce, Jonathan. Design, Building, Testing, and Control of SUPERball: A Tensegrity Robot to Enable New Forms of Planetary Exploration.

Degree: Computer Engineering (Robotics and Control), 2016, University of California – Santa Cruz

URL: http://www.escholarship.org/uc/item/0274v214

► Presented in this work are the concepts to build, sense and control a completely untethered tensegrity robotic system called SUPERball (Spherical Underactuated Planetary Exploration Robot),… (more)

Subjects/Keywords: Robotics; Machine Learning; Robotics; Sensor Fusion; Tensegrity

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APA (6^th Edition):

Bruce, J. (2016). Design, Building, Testing, and Control of SUPERball: A Tensegrity Robot to Enable New Forms of Planetary Exploration. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/0274v214

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bruce, Jonathan. “Design, Building, Testing, and Control of SUPERball: A Tensegrity Robot to Enable New Forms of Planetary Exploration.” 2016. Thesis, University of California – Santa Cruz. Accessed August 23, 2019. http://www.escholarship.org/uc/item/0274v214.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bruce, Jonathan. “Design, Building, Testing, and Control of SUPERball: A Tensegrity Robot to Enable New Forms of Planetary Exploration.” 2016. Web. 23 Aug 2019.

Vancouver:

Bruce J. Design, Building, Testing, and Control of SUPERball: A Tensegrity Robot to Enable New Forms of Planetary Exploration. [Internet] [Thesis]. University of California – Santa Cruz; 2016. [cited 2019 Aug 23]. Available from: http://www.escholarship.org/uc/item/0274v214.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bruce J. Design, Building, Testing, and Control of SUPERball: A Tensegrity Robot to Enable New Forms of Planetary Exploration. [Thesis]. University of California – Santa Cruz; 2016. Available from: http://www.escholarship.org/uc/item/0274v214

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Nilsson, Sanna. Sensor Fusion for Heavy Duty Vehicle Platooning.

Degree: The Institute of Technology, 2012, Linköping UniversityLinköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78970

► The aim of platooning is to enable several Heavy Duty Vehicles (HDVs) to drive in a convoy and act as one unit to decrease the… (more)

Subjects/Keywords: Extended Kalman Filter; EKF; platooning; sensor fusion

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APA (6^th Edition):

Nilsson, S. (2012). Sensor Fusion for Heavy Duty Vehicle Platooning. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78970

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Nilsson, Sanna. “Sensor Fusion for Heavy Duty Vehicle Platooning.” 2012. Thesis, Linköping UniversityLinköping University. Accessed August 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78970.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Nilsson, Sanna. “Sensor Fusion for Heavy Duty Vehicle Platooning.” 2012. Web. 23 Aug 2019.

Vancouver:

Nilsson S. Sensor Fusion for Heavy Duty Vehicle Platooning. [Internet] [Thesis]. Linköping UniversityLinköping University; 2012. [cited 2019 Aug 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78970.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nilsson S. Sensor Fusion for Heavy Duty Vehicle Platooning. [Thesis]. Linköping UniversityLinköping University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78970

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Tennessee – Knoxville

15. Zheng, Sicong. Pixel-level Image Fusion Algorithms for Multi-camera Imaging System.

Degree: MS, Computer Engineering, 2010, University of Tennessee – Knoxville

URL: https://trace.tennessee.edu/utk_gradthes/848

► This thesis work is motivated by the potential and promise of image fusion technologies in the multi sensor image fusion system and applications. With specific… (more)

Subjects/Keywords: Image fusion; pixel-based; multi-sensor; morphing

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APA (6^th Edition):

Zheng, S. (2010). Pixel-level Image Fusion Algorithms for Multi-camera Imaging System. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/848

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zheng, Sicong. “Pixel-level Image Fusion Algorithms for Multi-camera Imaging System.” 2010. Thesis, University of Tennessee – Knoxville. Accessed August 23, 2019. https://trace.tennessee.edu/utk_gradthes/848.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zheng, Sicong. “Pixel-level Image Fusion Algorithms for Multi-camera Imaging System.” 2010. Web. 23 Aug 2019.

Vancouver:

Zheng S. Pixel-level Image Fusion Algorithms for Multi-camera Imaging System. [Internet] [Thesis]. University of Tennessee – Knoxville; 2010. [cited 2019 Aug 23]. Available from: https://trace.tennessee.edu/utk_gradthes/848.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zheng S. Pixel-level Image Fusion Algorithms for Multi-camera Imaging System. [Thesis]. University of Tennessee – Knoxville; 2010. Available from: https://trace.tennessee.edu/utk_gradthes/848

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Texas – Austin

16. Soto, Albert Luis. Real-time sensor data development for smart truck drivetrains.

Degree: Mechanical Engineering, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/64203

► Heavy articulated transport vehicles have a poor reputation associated with dramatic road accidents with frequent fatalities for those in automobiles. The result of this work… (more)

Subjects/Keywords: Sensor fusion; Intelligent machines; Real-time control

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APA (6^th Edition):

Soto, A. L. (2018). Real-time sensor data development for smart truck drivetrains. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/64203

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Soto, Albert Luis. “Real-time sensor data development for smart truck drivetrains.” 2018. Thesis, University of Texas – Austin. Accessed August 23, 2019. http://hdl.handle.net/2152/64203.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Soto, Albert Luis. “Real-time sensor data development for smart truck drivetrains.” 2018. Web. 23 Aug 2019.

Vancouver:

Soto AL. Real-time sensor data development for smart truck drivetrains. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/2152/64203.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soto AL. Real-time sensor data development for smart truck drivetrains. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/64203

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Kentucky

17. Zhao, Jian. Camera Planning and Fusion in a Heterogeneous Camera Network.

Degree: 2011, University of Kentucky

URL: https://uknowledge.uky.edu/ece_etds/2

► Wide-area camera networks are becoming more and more common. They have widerange of commercial and military applications from video surveillance to smart home and from… (more)

▼ Wide-area camera networks are becoming more and more common. They have widerange of commercial and military applications from video surveillance to smart home and from traffic monitoring to anti-terrorism. The design of such a camera network is a challenging problem due to the complexity of the environment, self and mutual occlusion of moving objects, diverse sensor properties and a myriad of performance metrics for different applications. In this dissertation, we consider two such challenges: camera planing and camera fusion. Camera planning is to determine the optimal number and placement of cameras for a target cost function. Camera fusion describes the task of combining images collected by heterogenous cameras in the network to extract information pertinent to a target application. I tackle the camera planning problem by developing a new unified framework based on binary integer programming (BIP) to relate the network design parameters and the performance goals of a variety of camera network tasks. Most of the BIP formulations are NP hard problems and various approximate algorithms have been proposed in the literature. In this dissertation, I develop a comprehensive framework in comparing the entire spectrum of approximation algorithms from Greedy, Markov Chain Monte Carlo (MCMC) to various relaxation techniques. The key contribution is to provide not only a generic formulation of the camera planning problem but also novel approaches to adapt the formulation to powerful approximation schemes including Simulated Annealing (SA) and Semi-Definite Program (SDP). The accuracy, efficiency and scalability of each technique are analyzed and compared in depth. Extensive experimental results are provided to illustrate the strength and weakness of each method. The second problem of heterogeneous camera fusion is a very complex problem. Information can be fused at different levels from pixel or voxel to semantic objects, with large variation in accuracy, communication and computation costs. My focus is on the geometric transformation of shapes between objects observed at different camera planes. This so-called the geometric fusion approach usually provides the most reliable fusion approach at the expense of high computation and communication costs. To tackle the complexity, a hierarchy of camera models with different levels of complexity was proposed to balance the effectiveness and efficiency of the camera network operation. Then different calibration and registration methods are proposed for each camera model. At last, I provide two specific examples to demonstrate the effectiveness of the model: 1)a fusion system to improve the segmentation of human body in a camera network consisted of thermal and regular visible light cameras and 2) a view dependent rendering system by combining the information from depth and regular cameras to collecting the scene information and generating new views in real time.

Subjects/Keywords: Sensor Planning; Camera Placement; Sensor Fusion; Human Segmentation; Multi-camera Fusion; Electrical and Computer Engineering

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APA (6^th Edition):

Zhao, J. (2011). Camera Planning and Fusion in a Heterogeneous Camera Network. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/ece_etds/2

Chicago Manual of Style (16^th Edition):

Zhao, Jian. “Camera Planning and Fusion in a Heterogeneous Camera Network.” 2011. Doctoral Dissertation, University of Kentucky. Accessed August 23, 2019. https://uknowledge.uky.edu/ece_etds/2.

MLA Handbook (7^th Edition):

Zhao, Jian. “Camera Planning and Fusion in a Heterogeneous Camera Network.” 2011. Web. 23 Aug 2019.

Vancouver:

Zhao J. Camera Planning and Fusion in a Heterogeneous Camera Network. [Internet] [Doctoral dissertation]. University of Kentucky; 2011. [cited 2019 Aug 23]. Available from: https://uknowledge.uky.edu/ece_etds/2.

Council of Science Editors:

Zhao J. Camera Planning and Fusion in a Heterogeneous Camera Network. [Doctoral Dissertation]. University of Kentucky; 2011. Available from: https://uknowledge.uky.edu/ece_etds/2

Michigan Technological University

18. Demars, Casey D. Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials.

Degree: PhD, Department of Electrical and Computer Engineering, 2018, Michigan Technological University

URL: https://digitalcommons.mtu.edu/etdr/720

► It is critical for defense and security applications to have a high probability of detection and low false alarm rate while operating over a… (more)

▼ It is critical for defense and security applications to have a high probability of detection and low false alarm rate while operating over a wide variety of conditions. Sensor fusion, which is the the process of combining data from two or more sensors, has been utilized to improve the performance of a system by exploiting the strengths of each sensor. This dissertation presents algorithms to fuse multi-sensor data that improves system performance by increasing detection rates, lowering false alarms, and improving track performance. Furthermore, this dissertation presents a framework for comparing algorithm error for image registration which is a critical pre-processing step for multi-spectral image fusion. First, I present an algorithm to improve detection and tracking performance for moving targets in a cluttered urban environment by fusing foreground maps from multi-spectral imagery. Most research in image fusion consider visible and long-wave infrared bands; I examine these bands along with near infrared and mid-wave infrared. To localize and track a particular target of interest, I present an algorithm to fuse output from the multi-spectral image tracker with a constellation of RF sensors measuring a specific cellular emanation. The fusion algorithm matches the Doppler differential from the RF sensors with the theoretical Doppler Differential of the video tracker output by selecting the sensor pair that minimizes the absolute difference or root-mean-square difference. Finally, a framework to quantify shift-estimation error for both area- and feature-based algorithms is presented. By exploiting synthetically generated visible and long-wave infrared imagery, error metrics are computed and compared for a number of area- and feature-based shift estimation algorithms. A number of key results are presented in this dissertation. The multi-spectral image tracker improves the location accuracy of the algorithm while improving the detection rate and lowering false alarms for most spectral bands. All 12 moving targets were tracked through the video sequence with only one lost track that was later recovered. Targets from the multi-spectral tracking algorithm were correctly associated with their corresponding cellular emanation for all targets at lower measurement uncertainty using the root-mean-square difference while also having a high confidence ratio for selecting the true target from background targets. For the area-based algorithms and the synthetic air-field image pair, the DFT and ECC algorithms produces sub-pixel shift-estimation error in regions such as shadows and high contrast painted line regions. The edge orientation feature descriptors increase the number of sub-field estimates while improving the shift-estimation error compared to the Lowe descriptor. Advisors/Committee Members: Dr. Michael C. Roggemann.

Subjects/Keywords: Sensor fusion; image processing; data fusion; target tracking; Signal Processing

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APA (6^th Edition):

Demars, C. D. (2018). Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials. (Doctoral Dissertation). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etdr/720

Chicago Manual of Style (16^th Edition):

Demars, Casey D. “Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials.” 2018. Doctoral Dissertation, Michigan Technological University. Accessed August 23, 2019. https://digitalcommons.mtu.edu/etdr/720.

MLA Handbook (7^th Edition):

Demars, Casey D. “Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials.” 2018. Web. 23 Aug 2019.

Vancouver:

Demars CD. Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials. [Internet] [Doctoral dissertation]. Michigan Technological University; 2018. [cited 2019 Aug 23]. Available from: https://digitalcommons.mtu.edu/etdr/720.

Council of Science Editors:

Demars CD. Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials. [Doctoral Dissertation]. Michigan Technological University; 2018. Available from: https://digitalcommons.mtu.edu/etdr/720

19. Fernández Moral, Eduardo Jesús. Contributions to metric-topological localization and mapping in mobile robotics.

Degree: 2015, Servicio de Publicaciones y Divulgación Científica

URL: http://hdl.handle.net/10630/9931

► La presente tesis doctoral aborda el problema de localización y cartografía (o mapeo) en robótica móvil. La capacidad de un robot móvil para crear un… (more)

▼ La presente tesis doctoral aborda el problema de localización y cartografía (o mapeo) en robótica móvil. La capacidad de un robot móvil para crear un mapa de su entorno a partir de la información obtenida por sus sensores es necesaria para que dicho robot pueda localizarse y para que éste pueda navegar de forma autónoma. Este problema ha sido ampliamente estudiado en las últimas décadas, sin embargo, las soluciones obtenidas presentan aún importantes limitaciones. Estas limitaciones afectan principalmente a la operación en entornos a gran escala y en la adaptación a entornos dinámicos. En este contexto, esta tesis representa otro paso más en el camino hacia soluciones de localización y mapeo eficientes.Una primera contribución de este trabajo es una nueva estrategia de cartografía que combina dos características principales: una representación compacta de la información métrica, y la organización de esta información métrica en una estructura topológica que mejora la eficiencia en la localización y la optimización del mapa. Para ello se propone un mapa basado en segmentos planos que son extraídos de las imágenes de rango o RGB-D. Este mapa basado en planos (PbMap) es especialmente adecuado para escenarios de interior, y tiene la ventaja de ser altamente descriptivo a pesar de su compacidad, lo cuál permite reconocer escenarios en tiempo real y cerrar bucles, siendo éstas tareas clave para la localización y mapeo simultáneos (SLAM). Ambas operaciones se basan en el emparejamiento de segmentos planos teniendo en cuenta sus relaciones geométricas. Por otro lado, la abstracción de la información métrica es necesaria para abordar el problema de SLAM en gran escala y para la navegación en entornos complejos. En este sentido, esta tesis propone organizar el mapa en tiempo real en una estructura métrica-topológica de acuerdo a la co-visibilidad de las observaciones.Esta tesis también presenta un sistema de localización y cartografía simultánea (SLAM) empleando un nuevo sensor omnidireccional RGB-D que combina varios sensores Asus Xtion Pro Live. Este dispositivo permite construir rápidamente modelos densos del entorno basados en nubes de puntos a un bajo coste con respecto a otras alternativas previas. Nuestro enfoque en SLAM se basa en la gestión de una estructura jerárquica de \emph{keyframes} consistente en una capa de bajo nivel con información métrica y varias capas superiores con información topológica que son útiles para SLAM en gran escala y para navegación. Este sistema de SLAM funciona a una frecuencia de 30 Hz y permite la obtención de mapas de alta consistencia.También se propone una técnica de calibración extrínseca para obtener las poses relativas de una combinación de sensores de rango 3D, como aquellos empleados en el dispositivo RGB-D omnidireccional mencionado anteriormente. La calibración se obtiene a partir de la observación de superficies planas en un entorno estructurado de una manera rápida, fácil y robusta. Esta nueva técnica presenta ventajas cualitativas y cuantitativas con respecto a los enfoques… Advisors/Committee Members: Ingeniería de Sistemas y Automática, González-Jiménez, Javier.

Subjects/Keywords: Robótica - Tesis doctorales; Localization; Mapping; Sensor calibration; Sensor fusion; Robot vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Fernández Moral, E. J. (2015). Contributions to metric-topological localization and mapping in mobile robotics. (Thesis). Servicio de Publicaciones y Divulgación Científica. Retrieved from http://hdl.handle.net/10630/9931

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Fernández Moral, Eduardo Jesús. “Contributions to metric-topological localization and mapping in mobile robotics.” 2015. Thesis, Servicio de Publicaciones y Divulgación Científica. Accessed August 23, 2019. http://hdl.handle.net/10630/9931.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Fernández Moral, Eduardo Jesús. “Contributions to metric-topological localization and mapping in mobile robotics.” 2015. Web. 23 Aug 2019.

Vancouver:

Fernández Moral EJ. Contributions to metric-topological localization and mapping in mobile robotics. [Internet] [Thesis]. Servicio de Publicaciones y Divulgación Científica; 2015. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10630/9931.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fernández Moral EJ. Contributions to metric-topological localization and mapping in mobile robotics. [Thesis]. Servicio de Publicaciones y Divulgación Científica; 2015. Available from: http://hdl.handle.net/10630/9931

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Carnegie Mellon University

20. Han, Jun. Advantages and Risks of Sensing for Cyber-Physical Security.

Degree: 2018, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/1161

► With the the emergence of the Internet-of-Things (IoT) and Cyber-Physical Systems (CPS), modern computing is now transforming from residing only in the cyber domain to… (more)

Subjects/Keywords: Context-based Pairing; IoT Security; Sensor Fusion; Sensor Security

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Han, J. (2018). Advantages and Risks of Sensing for Cyber-Physical Security. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1161

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Han, Jun. “Advantages and Risks of Sensing for Cyber-Physical Security.” 2018. Thesis, Carnegie Mellon University. Accessed August 23, 2019. http://repository.cmu.edu/dissertations/1161.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Han, Jun. “Advantages and Risks of Sensing for Cyber-Physical Security.” 2018. Web. 23 Aug 2019.

Vancouver:

Han J. Advantages and Risks of Sensing for Cyber-Physical Security. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2019 Aug 23]. Available from: http://repository.cmu.edu/dissertations/1161.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Han J. Advantages and Risks of Sensing for Cyber-Physical Security. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1161

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Oklahoma State University

21. Ohri, Amit. Wireless Sensor Fusion Approach for Monitoring Chemical Mechanical Planarization (CMP) Process.

Degree: Mechanical & Aerospace Engineering, 2010, Oklahoma State University

URL: http://hdl.handle.net/11244/10014

► Chemical mechanical planarization (CMP) is used in the microelectronics and optical industries for local as well as global planarity and for producing mirror finished surfaces.… (more)

▼ Chemical mechanical planarization (CMP) is used in the microelectronics and optical industries for local as well as global planarity and for producing mirror finished surfaces. Roughness (Ra), within- non-uniformity (WIWNU), and material removal rate (MRR) are the major performance variables in polishing. CMP is a complex process involving some 36 input variables. Analysis of the review of the literatures showed that static models that use process parameters are inadequate for estimating and monitoring the performance variables in the CMP process. Pad-level interactions play a major role in polishing. Sensor based monitoring techniques enables monitoring of the CMP process. Additionally, sensor fusion techniques may facilitate in improving the robustness and monitoring the process beyond using one sensor. In this work, wireless vibration (Z-axis) and temperature sensors mounted on a bench top polisher (ECOMET polisher from Buehler) are used to monitor the material removal rate (MRR) and surface finish (Ra). The wireless sensor platform has a sampling rate of 500 Hz for the vibration sensor and 4 Hz for the temperature sensor. Alumina-based alkaline slurry is used in polishing process. The process conditions include two loading conditions (10 lb and 5 lb) and two rotational speeds (500 rpm and 300 rpm). The polishing studies were conducted on a 1.6" copper samples and Microcloth pad (from Buehler). The overall approach used involves relating the various sensors signal features to MRR and Ra from the CMP process. The vibration features were extracted using statistical, frequency, and RQA (non-linear) analysis techniques. The vibration features were combined with temperature features to build multiple linear regression models. The regression fitting accuracy for the roughness model is ~ 93% using the statistical features, such as maximum and kurtosis, time-frequency features, such as energy, nonlinear features such as LAM and Lmax and thermal features such as net temperature rise and temperature rise rate. The regression fitting accuracy for the MRR model is ~ 91% using the statistical features, such as variance and skewness, time-frequency features, such as energy and nonlinear features, such as time delay and temperature rise rate as temperature features. The thermal features are able to increase the coefficient of determination of roughness model by 10%. This wireless sensor fusion based regression models are found to be more efficient compared to a single sensor as it takes care of both the mechanical effects using a vibration sensor and thermal effects using a temperature sensor. It appears that this is the first time that a sensor fusion based technique is attempted for predicting Ra and MRR in the CMP process. Advisors/Committee Members: Komanduri, Ranga (advisor), Bukkapatnam, Satish (committee member), Harimkar, Sandip P. (committee member).

Subjects/Keywords: chemical mechanical planarization; monitoring; regression analysis; temperature sensor; vibration sensor; wireless sensor fusion

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ohri, A. (2010). Wireless Sensor Fusion Approach for Monitoring Chemical Mechanical Planarization (CMP) Process. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10014

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ohri, Amit. “Wireless Sensor Fusion Approach for Monitoring Chemical Mechanical Planarization (CMP) Process.” 2010. Thesis, Oklahoma State University. Accessed August 23, 2019. http://hdl.handle.net/11244/10014.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ohri, Amit. “Wireless Sensor Fusion Approach for Monitoring Chemical Mechanical Planarization (CMP) Process.” 2010. Web. 23 Aug 2019.

Vancouver:

Ohri A. Wireless Sensor Fusion Approach for Monitoring Chemical Mechanical Planarization (CMP) Process. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/11244/10014.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ohri A. Wireless Sensor Fusion Approach for Monitoring Chemical Mechanical Planarization (CMP) Process. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/10014

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Antigny, Nicolas. Estimation continue de la pose d'un équipement tenu en main par fusion des données visio-inertielles pour les applications de navigation piétonne en milieux urbains : Continuous pose estimation of handheld device by fusion of visio-inertial data for pedestrian navigation applications in urban environments.

Degree: Docteur es, Signal, Image, Vision, 2018, Ecole centrale de Nantes

URL: http://www.theses.fr/2018ECDN0027

►

Pour assister la navigation piétonne dans les espaces urbains et intérieurs, une estimation précise de la pose (i.e. la position 3D et l'orientation3D) d'un équipement… (more)

▼

Pour assister la navigation piétonne dans les espaces urbains et intérieurs, une estimation précise de la pose (i.e. la position 3D et l'orientation3D) d'un équipement tenu en main constitue un point essentiel dans le développement d'outils d'aide à la mobilité (e.g. applications de réalité augmentée). Dans l'hypothèse où le piéton n'est équipé que d'appareils grand public, l'estimation de la pose est limitée à l'utilisation de capteurs à faible coût intégrés dans ces derniers (i.e. un récepteur GNSS, une unité de mesure inertielle et magnétique et une caméra monoculaire). De plus, les espaces urbains et intérieurs, comprenant des bâtiments proches et des éléments ferromagnétiques, constituent des zones difficiles pour la localisation et l'estimation de la pose lors de grands déplacements piétons.Cependant, le développement récent et la mise à disposition d'informations contenues dans des Systèmes d'Information Géographiques 3D constituent une nouvelle source de données exploitable pour la localisation et l'estimation de la pose. Pour relever ces défis, cette thèse propose différentes solutions pour améliorer la localisation et l'estimation de la pose des équipements tenus en main par le piéton lors de ses déplacements en espaces urbains et intérieurs. Les solutions proposées intègrent l'estimation de l'attitude basée inertielle et magnétique, l'odométrie visuelle monoculaire mise à l'échelle grâce à l'estimation des déplacements du piéton, l'estimation absolue de la pose basée sur la reconnaissance d'objets SIG 3D parfaitement connus et la mise à jour en position de la navigation à l'estime du piéton.Toutes ces solutions s'intègrent dans un processus de fusion permettant d'améliorer la précision de la localisation et d'estimer en continu une pose qualifiée de l'appareil tenu en main.Cette qualification est nécessaire à la mise en place d'un affichage en réalité augmentée sur site. Pour évaluer les solutions proposées, des données expérimentales ont été recueillies au cours de déplacements piétons dans un espace urbain avec des objets de référence et des passages intérieurs.

To support pedestrian navigation in urban and indoor spaces, an accurate pose estimate (i.e. 3Dposition and 3D orientation) of an equipment held inhand constitutes an essential point in the development of mobility assistance tools (e.g.Augmented Reality applications). On the assumption that the pedestrian is only equipped with general public devices, the pose estimation is restricted to the use of low-cost sensors embedded in the latter (i.e. an Inertial and Magnetic Measurement Unit and a monocular camera). In addition, urban and indoor spaces, comprising closely-spaced buildings and ferromagnetic elements,constitute challenging areas for localization and sensor pose estimation during large pedestrian displacements.However, the recent development and provision of data contained in 3D Geographical Information System constitutes a new wealth of data usable for localization and pose estimation.To address these challenges, this thesis proposes…

Advisors/Committee Members: Renaudin, Valérie (thesis director).

Subjects/Keywords: Navigation piétonne; Fusion de données; Réalité augmentée; Pedestrian navigation; Sensor fusion; Augmented reality; 004

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Antigny, N. (2018). Estimation continue de la pose d'un équipement tenu en main par fusion des données visio-inertielles pour les applications de navigation piétonne en milieux urbains : Continuous pose estimation of handheld device by fusion of visio-inertial data for pedestrian navigation applications in urban environments. (Doctoral Dissertation). Ecole centrale de Nantes. Retrieved from http://www.theses.fr/2018ECDN0027

Chicago Manual of Style (16^th Edition):

Antigny, Nicolas. “Estimation continue de la pose d'un équipement tenu en main par fusion des données visio-inertielles pour les applications de navigation piétonne en milieux urbains : Continuous pose estimation of handheld device by fusion of visio-inertial data for pedestrian navigation applications in urban environments.” 2018. Doctoral Dissertation, Ecole centrale de Nantes. Accessed August 23, 2019. http://www.theses.fr/2018ECDN0027.

MLA Handbook (7^th Edition):

Antigny, Nicolas. “Estimation continue de la pose d'un équipement tenu en main par fusion des données visio-inertielles pour les applications de navigation piétonne en milieux urbains : Continuous pose estimation of handheld device by fusion of visio-inertial data for pedestrian navigation applications in urban environments.” 2018. Web. 23 Aug 2019.

Vancouver:

Antigny N. Estimation continue de la pose d'un équipement tenu en main par fusion des données visio-inertielles pour les applications de navigation piétonne en milieux urbains : Continuous pose estimation of handheld device by fusion of visio-inertial data for pedestrian navigation applications in urban environments. [Internet] [Doctoral dissertation]. Ecole centrale de Nantes; 2018. [cited 2019 Aug 23]. Available from: http://www.theses.fr/2018ECDN0027.

Council of Science Editors:

Antigny N. Estimation continue de la pose d'un équipement tenu en main par fusion des données visio-inertielles pour les applications de navigation piétonne en milieux urbains : Continuous pose estimation of handheld device by fusion of visio-inertial data for pedestrian navigation applications in urban environments. [Doctoral Dissertation]. Ecole centrale de Nantes; 2018. Available from: http://www.theses.fr/2018ECDN0027

The Ohio State University

23. Gallagher, Jonathan G. Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking.

Degree: MS, Electrical and Computer Engineering, 2009, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041862

► This thesis addresses the problem of detecting and tracking objects in a scene, using a distributed set of sensing devices in different locations, and in… (more)

Subjects/Keywords: Electrical Engineering; target tracking; state estimation; distributed calculation; likelihood maps; likelihood ratio; data fusion; sensor fusion; sensor networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Gallagher, J. G. (2009). Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041862

Chicago Manual of Style (16^th Edition):

Gallagher, Jonathan G. “Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking.” 2009. Masters Thesis, The Ohio State University. Accessed August 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041862.

MLA Handbook (7^th Edition):

Gallagher, Jonathan G. “Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking.” 2009. Web. 23 Aug 2019.

Vancouver:

Gallagher JG. Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking. [Internet] [Masters thesis]. The Ohio State University; 2009. [cited 2019 Aug 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041862.

Council of Science Editors:

Gallagher JG. Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking. [Masters Thesis]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041862

KTH

24. Abelin, Sarah. Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment.

Degree: Machine Design (Dept.), 2017, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210223

►

Monitoring water level in harsh environment in order to handle the start and stop function of drainage pumps has been a major issue. Several… (more)

▼

Monitoring water level in harsh environment in order to handle the start and stop function of drainage pumps has been a major issue. Several environmental factors are present, which affect and disturb sensor measurements. Current solutions with mechanical float switches, mounted outside of pumps, wear out, get entangled and account for more than half of all the emergency call outs to pumping stations. Since pumps are frequently moved around, a new sensor solution is needed which can be integrated within the pump house and is able to continuously monitor water level to optimize the operation of the pump and to decrease wear, cost and energy consumption. This thesis presents an investigation how different sensor techniques can be combined to improve reliability for monitoring water level and handle the start and stop function of drainage pumps in harsh environment. The main focus has been to identify suitable water level sensing techniques and to investigate how sensors are affected by build-up materials building up on the pump surface and covering the sensor probes. A support vector machine algorithm is implemented to fuse sensor data in order to increase reliability of the sensor solution in contaminated condition. Results show that a combination of a pressure sensor and a capacitive sensor is the most suitable combination for withstanding build-up materials. For operating conditions when sensors are covered with soft or viscous build-ups, sensors were able to monitor water level through the build-up materials. No solution was found that could satisfactorily monitor water level through solidified build-up materials.

Att övervaka vattennivån i extrema miljöer för att hantera start- och stoppfunktion av dräneringspumpar har varit ett stort problem. Flera påverkande faktorer från pumpomgivningen influerar och stör sensormätningarna. Nuvarande lösningar med mekaniskt rörliga nivåvippor som är monterade utanför pumparna slits ut, trasslar in sig och står för mer än hälften av alla jourutryckningar till pumpstationerna. Eftersom pumpar ofta flyttas runt, behövs en ny sensorlösning som kan integreras i pumpen och som kontinuerligt kan övervaka vattennivån för att optimera pumpdriften och minska slitage, kostnad och energiförbrukning. Den här masteruppsatsen presenterar en undersökning av hur olika givartekniker kan kombineras för att förbättra tillförlitligheten för övervakning av vattennivån och hantera start- och stoppfunktionen av dräneringspumpar i extrema miljöer. Fokus har legat på att identifiera lämpliga givartekniker för att mäta vattennivå och undersöka hur givare påverkas av beläggningar som byggs upp på pumpytan och täcker givarna. En support vector machine algoritm har implementerats för att kombinera givardata i syfte att öka tillförlitligheten hos givarlösningen i kontaminerat skick. Resultaten visar att en kombination av en tryckgivare och en kapacitiv givare är den mest lämpliga kombinationen för att motstå beläggningsmaterial. För driftsförhållanden när givarna är…

Subjects/Keywords: sensor fusion; support vector machine; level sensors; drainage pumps; water; sensor fusion; support vector machine; nivågivare; dräneringspumpar; Mechanical Engineering; Maskinteknik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Abelin, S. (2017). Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210223

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Abelin, Sarah. “Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment.” 2017. Thesis, KTH. Accessed August 23, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210223.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Abelin, Sarah. “Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment.” 2017. Web. 23 Aug 2019.

Vancouver:

Abelin S. Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment. [Internet] [Thesis]. KTH; 2017. [cited 2019 Aug 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210223.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Abelin S. Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210223

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Loughborough University

25. Yang, Yanning. Wireless sensor data processing for on-site emergency response.

Degree: 2011, Loughborough University

URL: https://dspace.lboro.ac.uk/2134/8501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546761

► This thesis is concerned with the problem of processing data from Wireless Sensor Networks (WSNs) to meet the requirements of emergency responders (e.g. Fire and… (more)

▼ This thesis is concerned with the problem of processing data from Wireless Sensor Networks (WSNs) to meet the requirements of emergency responders (e.g. Fire and Rescue Services). A WSN typically consists of spatially distributed sensor nodes to cooperatively monitor the physical or environmental conditions. Sensor data about the physical or environmental conditions can then be used as part of the input to predict, detect, and monitor emergencies. Although WSNs have demonstrated their great potential in facilitating Emergency Response, sensor data cannot be interpreted directly due to its large volume, noise, and redundancy. In addition, emergency responders are not interested in raw data, they are interested in the meaning it conveys. This thesis presents research on processing and combining data from multiple types of sensors, and combining sensor data with other relevant data, for the purpose of obtaining data of greater quality and information of greater relevance to emergency responders. The current theory and practice in Emergency Response and the existing technology aids were reviewed to identify the requirements from both application and technology perspectives (Chapter 2). The detailed process of information extraction from sensor data and sensor data fusion techniques were reviewed to identify what constitutes suitable sensor data fusion techniques and challenges presented in sensor data processing (Chapter 3). A study of Incident Commanders' requirements utilised a goal-driven task analysis method to identify gaps in current means of obtaining relevant information during response to fire emergencies and a list of opportunities for WSN technology to fill those gaps (Chapter 4). A high-level Emergency Information Management System Architecture was proposed, including the main components that are needed, the interaction between components, and system function specification at different incident stages (Chapter 5). A set of state-awareness rules was proposed, and integrated with Kalman Filter to improve the performance of filtering. The proposed data pre-processing approach achieved both improved outlier removal and quick detection of real events (Chapter 6). A data storage mechanism was proposed to support timely response to queries regardless of the increase in volume of data (Chapter 7). What can be considered as “meaning” (e.g. events) for emergency responders were identified and a generic emergency event detection model was proposed to identify patterns presenting in sensor data and associate patterns with events (Chapter 8). In conclusion, the added benefits that the technical work can provide to the current Emergency Response is discussed and specific contributions and future work are highlighted (Chapter 9).

Subjects/Keywords: 621.382; Sensor data processing; Data fusion; Emergency response; Emergency information system; Wireless Sensor Networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yang, Y. (2011). Wireless sensor data processing for on-site emergency response. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/8501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546761

Chicago Manual of Style (16^th Edition):

Yang, Yanning. “Wireless sensor data processing for on-site emergency response.” 2011. Doctoral Dissertation, Loughborough University. Accessed August 23, 2019. https://dspace.lboro.ac.uk/2134/8501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546761.

MLA Handbook (7^th Edition):

Yang, Yanning. “Wireless sensor data processing for on-site emergency response.” 2011. Web. 23 Aug 2019.

Vancouver:

Yang Y. Wireless sensor data processing for on-site emergency response. [Internet] [Doctoral dissertation]. Loughborough University; 2011. [cited 2019 Aug 23]. Available from: https://dspace.lboro.ac.uk/2134/8501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546761.

Council of Science Editors:

Yang Y. Wireless sensor data processing for on-site emergency response. [Doctoral Dissertation]. Loughborough University; 2011. Available from: https://dspace.lboro.ac.uk/2134/8501 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546761

University of Illinois – Chicago

26. Khan, Nishat Anjum. Multi-Sensor Preprocessing for Traffic Light Detection.

Degree: 2017, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/22181

► With the exponential growth of smartphone usage and its computational capability, there is an opportunity today to build a usable navigation system for the visually… (more)

Subjects/Keywords: Image Processing; Traffic Lights; Walk Signs; Pedestrian Navigation; Video Analytics; Sensor Fusion; Inertial Sensor

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Khan, N. A. (2017). Multi-Sensor Preprocessing for Traffic Light Detection. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22181

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Khan, Nishat Anjum. “Multi-Sensor Preprocessing for Traffic Light Detection.” 2017. Thesis, University of Illinois – Chicago. Accessed August 23, 2019. http://hdl.handle.net/10027/22181.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Khan, Nishat Anjum. “Multi-Sensor Preprocessing for Traffic Light Detection.” 2017. Web. 23 Aug 2019.

Vancouver:

Khan NA. Multi-Sensor Preprocessing for Traffic Light Detection. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2019 Aug 23]. Available from: http://hdl.handle.net/10027/22181.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khan NA. Multi-Sensor Preprocessing for Traffic Light Detection. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22181

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Colorado

27. Iglesias Echevarria, David I. Cooperative Robot Localization Using Event-Triggered Estimation.

Degree: MS, 2017, University of Colorado

URL: https://scholar.colorado.edu/asen_gradetds/185

► It is known that multiple robot systems that need to cooperate to perform certain activities or tasks incur in high energy costs that hinder their… (more)

Subjects/Keywords: localization; mobile robotics; sensor fusion; state estimation; statistical inference; wireless sensor networks; Aerospace Engineering; Robotics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Iglesias Echevarria, D. I. (2017). Cooperative Robot Localization Using Event-Triggered Estimation. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/185

Chicago Manual of Style (16^th Edition):

Iglesias Echevarria, David I. “Cooperative Robot Localization Using Event-Triggered Estimation.” 2017. Masters Thesis, University of Colorado. Accessed August 23, 2019. https://scholar.colorado.edu/asen_gradetds/185.

MLA Handbook (7^th Edition):

Iglesias Echevarria, David I. “Cooperative Robot Localization Using Event-Triggered Estimation.” 2017. Web. 23 Aug 2019.

Vancouver:

Iglesias Echevarria DI. Cooperative Robot Localization Using Event-Triggered Estimation. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2019 Aug 23]. Available from: https://scholar.colorado.edu/asen_gradetds/185.

Council of Science Editors:

Iglesias Echevarria DI. Cooperative Robot Localization Using Event-Triggered Estimation. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/asen_gradetds/185

University of Colorado

28. Iglesias Echevarria, David I. Cooperative Robot Localization Using Event-Triggered Estimation.

Degree: MS, 2017, University of Colorado

URL: https://scholar.colorado.edu/asen_gradetds/206

► It is known that multiple robot systems that need to cooperate to perform certain activities or tasks incur in high energy costs that hinder their… (more)

Subjects/Keywords: localization; mobile robotics; sensor fusion; state estimation; statistical inference; wireless sensor networks; Aerospace Engineering; Robotics

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Iglesias Echevarria, D. I. (2017). Cooperative Robot Localization Using Event-Triggered Estimation. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/206

Chicago Manual of Style (16^th Edition):

Iglesias Echevarria, David I. “Cooperative Robot Localization Using Event-Triggered Estimation.” 2017. Masters Thesis, University of Colorado. Accessed August 23, 2019. https://scholar.colorado.edu/asen_gradetds/206.

MLA Handbook (7^th Edition):

Iglesias Echevarria, David I. “Cooperative Robot Localization Using Event-Triggered Estimation.” 2017. Web. 23 Aug 2019.

Vancouver:

Iglesias Echevarria DI. Cooperative Robot Localization Using Event-Triggered Estimation. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2019 Aug 23]. Available from: https://scholar.colorado.edu/asen_gradetds/206.

Council of Science Editors:

Iglesias Echevarria DI. Cooperative Robot Localization Using Event-Triggered Estimation. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/asen_gradetds/206

University of Manchester

29. Zebin, Tahmina. Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms.

Degree: 2018, University of Manchester

URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312

►

Wearable sensors such as inertial measurement units (IMUs) have been widely used to measure the quality of physical activities during daily living in healthy and… (more)

▼

Wearable sensors such as inertial measurement units (IMUs) have been widely used to measure the quality of physical activities during daily living in healthy and people with movement disorders through activity classification. These sensors have the potential to provide valuable information of the movement during the activities of daily living (ADL), such as walking, sitting down, and standing up, which could help clinicians to monitor rehabilitation and therapeutic interventions. However, high accuracy in the detection and segmentation of these activities is necessary for proper evaluation of the quality of the performance for a given activity. In this research, we devised a wearable inertial sensor system to measure physical activities and to calculate spatio-temporal gait parameters. We presented advanced signal processing and machine learning algorithms for accurate measurement of gait parameters from the sensor values. We implemented a fusion factor based method to deal with the accumulated drift and integration noise in inertial sensor data in an adaptive manner. We further implemented a quaternion sensor fusion algorithm for joint angle measurement and achieved less noisy values for static and dynamic joint angles with a fourth order Runge-Kutta method. For classification of daily life activities,we rigorously analyzed and handcrafted sixty-six statistical, and frequency domain features from the accelerometer and gyroscope time-series. This feature set was then used to train several state-ofthe- art and novel classifiers. We designed and trained Decision trees, Support Vector Machines, k-nearest neighbour, Ensemble algorithms during our experiments. Our investigation revealed that support vector machine classifier with quadratic kernel and a bagged ensemble classifier met the required value of accuracy of above 90%. Since hand-crafting of features require substantial domain knowledge, we devised a novel deep convolutional neural network to extract and select the features from the raw sensor signals automatically. For this, we proposed and implemented a CNN with dropout regularization and batch normalization, achieving a 96.7% accuracy proving the superiority of automatically learned features over hand-crafted ones.

Dataset, Demo and codes at https://github.com/TZebin/Thesis-Supporting-Files

Advisors/Committee Members: SCULLY, PATRICIA PJ, Ozanyan, Krikor, Scully, Patricia.

Subjects/Keywords: Wearable Sensor; Machine Learning; Convolutional Neural Network; Sensor Fusion; Activity Recognition; Gait Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zebin, T. (2018). Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312

Chicago Manual of Style (16^th Edition):

Zebin, Tahmina. “Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms.” 2018. Doctoral Dissertation, University of Manchester. Accessed August 23, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312.

MLA Handbook (7^th Edition):

Zebin, Tahmina. “Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms.” 2018. Web. 23 Aug 2019.

Vancouver:

Zebin T. Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Aug 23]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312.

Council of Science Editors:

Zebin T. Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms. [Doctoral Dissertation]. University of Manchester; 2018. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312

University of Manchester

30. Zebin, Tahmina. Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms.

Degree: PhD, 2018, University of Manchester

URL: https://www.research.manchester.ac.uk/portal/en/theses/wearable-inertial-multisensor-system-for-physical-activity-analysis-and-classification-with-machine-learning-algorithms(57df353c-e3e8-405b-bc8f-86c883554223).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779579

► Wearable sensors such as inertial measurement units (IMUs) have been widely used to measure the quality of physical activities during daily living in healthy and… (more)

▼ Wearable sensors such as inertial measurement units (IMUs) have been widely used to measure the quality of physical activities during daily living in healthy and people with movement disorders through activity classification. These sensors have the potential to provide valuable information of the movement during the activities of daily living (ADL), such as walking, sitting down, and standing up, which could help clinicians to monitor rehabilitation and therapeutic interventions. However, high accuracy in the detection and segmentation of these activities is necessary for proper evaluation of the quality of the performance for a given activity. In this research, we devised a wearable inertial sensor system to measure physical activities and to calculate spatio-temporal gait parameters. We presented advanced signal processing and machine learning algorithms for accurate measurement of gait parameters from the sensor values. We implemented a fusion factor based method to deal with the accumulated drift and integration noise in inertial sensor data in an adaptive manner. We further implemented a quaternion sensor fusion algorithm for joint angle measurement and achieved less noisy values for static and dynamic joint angles with a fourth order Runge-Kutta method. For classification of daily life activities,we rigorously analyzed and handcrafted sixty-six statistical, and frequency domain features from the accelerometer and gyroscope time-series. This feature set was then used to train several state-ofthe- art and novel classifiers. We designed and trained Decision trees, Support Vector Machines, k-nearest neighbour, Ensemble algorithms during our experiments. Our investigation revealed that support vector machine classifier with quadratic kernel and a bagged ensemble classifier met the required value of accuracy of above 90%. Since hand-crafting of features require substantial domain knowledge, we devised a novel deep convolutional neural network to extract and select the features from the raw sensor signals automatically. For this, we proposed and implemented a CNN with dropout regularization and batch normalization, achieving a 96.7% accuracy proving the superiority of automatically learned features over hand-crafted ones.

Subjects/Keywords: Gait Analysis; Activity Recognition; Sensor Fusion; Machine Learning; Wearable Sensor; Convolutional Neural Network

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zebin, T. (2018). Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/wearable-inertial-multisensor-system-for-physical-activity-analysis-and-classification-with-machine-learning-algorithms(57df353c-e3e8-405b-bc8f-86c883554223).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779579

Chicago Manual of Style (16^th Edition):

Zebin, Tahmina. “Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms.” 2018. Doctoral Dissertation, University of Manchester. Accessed August 23, 2019. https://www.research.manchester.ac.uk/portal/en/theses/wearable-inertial-multisensor-system-for-physical-activity-analysis-and-classification-with-machine-learning-algorithms(57df353c-e3e8-405b-bc8f-86c883554223).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779579.

MLA Handbook (7^th Edition):

Zebin, Tahmina. “Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms.” 2018. Web. 23 Aug 2019.

Vancouver:

Zebin T. Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms. [Internet] [Doctoral dissertation]. University of Manchester; 2018. [cited 2019 Aug 23]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/wearable-inertial-multisensor-system-for-physical-activity-analysis-and-classification-with-machine-learning-algorithms(57df353c-e3e8-405b-bc8f-86c883554223).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779579.

Council of Science Editors:

Zebin T. Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms. [Doctoral Dissertation]. University of Manchester; 2018. Available from: https://www.research.manchester.ac.uk/portal/en/theses/wearable-inertial-multisensor-system-for-physical-activity-analysis-and-classification-with-machine-learning-algorithms(57df353c-e3e8-405b-bc8f-86c883554223).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.779579

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Open Access Theses and Dissertations