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You searched for subject:(sensor fusion). Showing records 1 – 30 of 429 total matches.

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University of New South Wales

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

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

 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)

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

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APA (6th 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 (16th Edition):

Howarth, Blair David Sidney. “Real time 3D mapping for small wall climbing robots.” 2012. Doctoral Dissertation, University of New South Wales. Accessed September 25, 2020. http://handle.unsw.edu.au/1959.4/51598 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10265/SOURCE02?view=true.

MLA Handbook (7th Edition):

Howarth, Blair David Sidney. “Real time 3D mapping for small wall climbing robots.” 2012. Web. 25 Sep 2020.

Vancouver:

Howarth BDS. Real time 3D mapping for small wall climbing robots. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2020 Sep 25]. 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

2. 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

Subjects/Keywords: Sensor Fusion

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APA (6th 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 (16th 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 September 25, 2020. 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 (7th 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. 25 Sep 2020.

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 2020 Sep 25]. 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.


University of Sydney

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

Degree: 2014, University of Sydney

 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 (6th 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 (16th Edition):

Morton, Peter Michael. “Multi-target tracking using appearance models for identity maintenance .” 2014. Thesis, University of Sydney. Accessed September 25, 2020. 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 (7th Edition):

Morton, Peter Michael. “Multi-target tracking using appearance models for identity maintenance .” 2014. Web. 25 Sep 2020.

Vancouver:

Morton PM. Multi-target tracking using appearance models for identity maintenance . [Internet] [Thesis]. University of Sydney; 2014. [cited 2020 Sep 25]. 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

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

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

 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)

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

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APA (6th 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 (16th Edition):

Laird, John. “Modelling the impact of sensor placement and fusion for traffic monitoring.” 2013. Doctoral Dissertation, University of New South Wales. Accessed September 25, 2020. http://handle.unsw.edu.au/1959.4/53000 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11678/SOURCE01?view=true.

MLA Handbook (7th Edition):

Laird, John. “Modelling the impact of sensor placement and fusion for traffic monitoring.” 2013. Web. 25 Sep 2020.

Vancouver:

Laird J. Modelling the impact of sensor placement and fusion for traffic monitoring. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2020 Sep 25]. 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


Penn State University

5. Sinsley, Gregory. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms.

Degree: 2012, Penn State University

 One of the biggest challenges currently facing the robotics field is sensor data fusion. Unmanned robots carry many sophisticated sensors including visual and infrared cameras,… (more)

Subjects/Keywords: sensor data fusion; information fusion; soft sensor data fusion; random set theory; particle filter

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APA (6th Edition):

Sinsley, G. (2012). Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16157

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

Chicago Manual of Style (16th Edition):

Sinsley, Gregory. “Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms.” 2012. Thesis, Penn State University. Accessed September 25, 2020. https://submit-etda.libraries.psu.edu/catalog/16157.

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

MLA Handbook (7th Edition):

Sinsley, Gregory. “Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms.” 2012. Web. 25 Sep 2020.

Vancouver:

Sinsley G. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Sep 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/16157.

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

Council of Science Editors:

Sinsley G. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/16157

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


University of California – Santa Cruz

6. 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

 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 (6th 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 (16th 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 September 25, 2020. 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 (7th Edition):

Bruce, Jonathan. “Design, Building, Testing, and Control of SUPERball: A Tensegrity Robot to Enable New Forms of Planetary Exploration.” 2016. Web. 25 Sep 2020.

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 2020 Sep 25]. 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


Penn State University

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

Degree: 2011, Penn State University

 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)

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Wen, Yicheng. “Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach .” 2011. Thesis, Penn State University. Accessed September 25, 2020. https://submit-etda.libraries.psu.edu/catalog/12213.

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

MLA Handbook (7th Edition):

Wen, Yicheng. “Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach .” 2011. Web. 25 Sep 2020.

Vancouver:

Wen Y. Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Sep 25]. Available from: https://submit-etda.libraries.psu.edu/catalog/12213.

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

Council of Science Editors:

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

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

8. Aeberhard, Michael Peter. Object-level fusion for surround environment perception in automated driving applications.

Degree: 2017, Technische Universität Dortmund

 Driver assistance systems have increasingly relied on more sensors for new functions. As advanced driver assistance system continue to improve towards automated driving, new methods… (more)

Subjects/Keywords: Autonomes Fahren; Perzeption; Sensor Daten Fusion; 620

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APA (6th Edition):

Aeberhard, M. P. (2017). Object-level fusion for surround environment perception in automated driving applications. (Doctoral Dissertation). Technische Universität Dortmund. Retrieved from http://dx.doi.org/10.17877/DE290R-18029

Chicago Manual of Style (16th Edition):

Aeberhard, Michael Peter. “Object-level fusion for surround environment perception in automated driving applications.” 2017. Doctoral Dissertation, Technische Universität Dortmund. Accessed September 25, 2020. http://dx.doi.org/10.17877/DE290R-18029.

MLA Handbook (7th Edition):

Aeberhard, Michael Peter. “Object-level fusion for surround environment perception in automated driving applications.” 2017. Web. 25 Sep 2020.

Vancouver:

Aeberhard MP. Object-level fusion for surround environment perception in automated driving applications. [Internet] [Doctoral dissertation]. Technische Universität Dortmund; 2017. [cited 2020 Sep 25]. Available from: http://dx.doi.org/10.17877/DE290R-18029.

Council of Science Editors:

Aeberhard MP. Object-level fusion for surround environment perception in automated driving applications. [Doctoral Dissertation]. Technische Universität Dortmund; 2017. Available from: http://dx.doi.org/10.17877/DE290R-18029


Linköping University

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

Degree: Automatic Control, 2016, Linköping University

  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)

Subjects/Keywords: sensor fusion; GNSS; IMU; Control Engineering; Reglerteknik

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APA (6th 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 (16th Edition):

Alsén, Victoria. “GNSS Aided Inertial Human Body Motion Capture.” 2016. Thesis, Linköping University. Accessed September 25, 2020. 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 (7th Edition):

Alsén, Victoria. “GNSS Aided Inertial Human Body Motion Capture.” 2016. Web. 25 Sep 2020.

Vancouver:

Alsén V. GNSS Aided Inertial Human Body Motion Capture. [Internet] [Thesis]. Linköping University; 2016. [cited 2020 Sep 25]. 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

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

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

  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 (6th 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 (16th Edition):

Nilsson, Sanna. “Sensor Fusion for Heavy Duty Vehicle Platooning.” 2012. Thesis, Linköping UniversityLinköping University. Accessed September 25, 2020. 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 (7th Edition):

Nilsson, Sanna. “Sensor Fusion for Heavy Duty Vehicle Platooning.” 2012. Web. 25 Sep 2020.

Vancouver:

Nilsson S. Sensor Fusion for Heavy Duty Vehicle Platooning. [Internet] [Thesis]. Linköping UniversityLinköping University; 2012. [cited 2020 Sep 25]. 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


Delft University of Technology

11. Carisi, Stefano (author). Multimodal Sensor-Fusion for Context-Aware Semi-Autonomous Control of a Multi Degree-of-Freedom Upper Limb Prosthesis.

Degree: 2018, Delft University of Technology

 Objective. Dexterous control of myoelectric upper limb prosthesis is still limited by the capabilities of the modern human-machine interfaces. The first goal of the current… (more)

Subjects/Keywords: sensor-fusion context-aware upper limb prosthesis

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APA (6th Edition):

Carisi, S. (. (2018). Multimodal Sensor-Fusion for Context-Aware Semi-Autonomous Control of a Multi Degree-of-Freedom Upper Limb Prosthesis. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:df9c8c3f-ba3b-4616-870a-5cbbda76ff1b

Chicago Manual of Style (16th Edition):

Carisi, Stefano (author). “Multimodal Sensor-Fusion for Context-Aware Semi-Autonomous Control of a Multi Degree-of-Freedom Upper Limb Prosthesis.” 2018. Masters Thesis, Delft University of Technology. Accessed September 25, 2020. http://resolver.tudelft.nl/uuid:df9c8c3f-ba3b-4616-870a-5cbbda76ff1b.

MLA Handbook (7th Edition):

Carisi, Stefano (author). “Multimodal Sensor-Fusion for Context-Aware Semi-Autonomous Control of a Multi Degree-of-Freedom Upper Limb Prosthesis.” 2018. Web. 25 Sep 2020.

Vancouver:

Carisi S(. Multimodal Sensor-Fusion for Context-Aware Semi-Autonomous Control of a Multi Degree-of-Freedom Upper Limb Prosthesis. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Sep 25]. Available from: http://resolver.tudelft.nl/uuid:df9c8c3f-ba3b-4616-870a-5cbbda76ff1b.

Council of Science Editors:

Carisi S(. Multimodal Sensor-Fusion for Context-Aware Semi-Autonomous Control of a Multi Degree-of-Freedom Upper Limb Prosthesis. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:df9c8c3f-ba3b-4616-870a-5cbbda76ff1b


Delft University of Technology

12. GAO, Xinyu (author). Sensor Data Fusion of Lidar and Camera for Road User Detection.

Degree: 2018, Delft University of Technology

Object detection is one of the most important research topics in autonomous vehicles. The detection systems of autonomous vehicles nowadays are mostly image-based ones which… (more)

Subjects/Keywords: 3D object detection; Lidar; Camera; sensor fusion

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APA (6th Edition):

GAO, X. (. (2018). Sensor Data Fusion of Lidar and Camera for Road User Detection. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e310da67-98b2-4288-b656-15da36e3f12a

Chicago Manual of Style (16th Edition):

GAO, Xinyu (author). “Sensor Data Fusion of Lidar and Camera for Road User Detection.” 2018. Masters Thesis, Delft University of Technology. Accessed September 25, 2020. http://resolver.tudelft.nl/uuid:e310da67-98b2-4288-b656-15da36e3f12a.

MLA Handbook (7th Edition):

GAO, Xinyu (author). “Sensor Data Fusion of Lidar and Camera for Road User Detection.” 2018. Web. 25 Sep 2020.

Vancouver:

GAO X(. Sensor Data Fusion of Lidar and Camera for Road User Detection. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Sep 25]. Available from: http://resolver.tudelft.nl/uuid:e310da67-98b2-4288-b656-15da36e3f12a.

Council of Science Editors:

GAO X(. Sensor Data Fusion of Lidar and Camera for Road User Detection. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:e310da67-98b2-4288-b656-15da36e3f12a

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

Degree: 2014, Czech University of Technology

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

APA (6th 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 (16th Edition):

Jana, Sentkerestiová. “Development of Hall sensors for steady state magnetic diagnostic of fusion reactors .” 2014. Thesis, Czech University of Technology. Accessed September 25, 2020. 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 (7th Edition):

Jana, Sentkerestiová. “Development of Hall sensors for steady state magnetic diagnostic of fusion reactors .” 2014. Web. 25 Sep 2020.

Vancouver:

Jana S. Development of Hall sensors for steady state magnetic diagnostic of fusion reactors . [Internet] [Thesis]. Czech University of Technology; 2014. [cited 2020 Sep 25]. 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

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

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

 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)

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

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APA (6th 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 (16th Edition):

Liu, Kaibo. “Data fusion for system modeling, performance assessment and improvement.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 25, 2020. http://hdl.handle.net/1853/52937.

MLA Handbook (7th Edition):

Liu, Kaibo. “Data fusion for system modeling, performance assessment and improvement.” 2013. Web. 25 Sep 2020.

Vancouver:

Liu K. Data fusion for system modeling, performance assessment and improvement. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2020 Sep 25]. 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


University of Georgia

15. Bottone, Michael Anthony. A system to bring real time reconstructions of objects into the virtual environment for use in interaction-intensive applications.

Degree: 2016, University of Georgia

 Bringing real objects into the virtual world has been shown to increase usability and presence in virtual reality applications. This paper presents a system to… (more)

Subjects/Keywords: Virtual Reality; Sensor Fusion; Human Computer Interaction

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APA (6th Edition):

Bottone, M. A. (2016). A system to bring real time reconstructions of objects into the virtual environment for use in interaction-intensive applications. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/35569"

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

Chicago Manual of Style (16th Edition):

Bottone, Michael Anthony. “A system to bring real time reconstructions of objects into the virtual environment for use in interaction-intensive applications.” 2016. Thesis, University of Georgia. Accessed September 25, 2020. http://hdl.handle.net/10724/35569".

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

MLA Handbook (7th Edition):

Bottone, Michael Anthony. “A system to bring real time reconstructions of objects into the virtual environment for use in interaction-intensive applications.” 2016. Web. 25 Sep 2020.

Vancouver:

Bottone MA. A system to bring real time reconstructions of objects into the virtual environment for use in interaction-intensive applications. [Internet] [Thesis]. University of Georgia; 2016. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10724/35569".

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

Council of Science Editors:

Bottone MA. A system to bring real time reconstructions of objects into the virtual environment for use in interaction-intensive applications. [Thesis]. University of Georgia; 2016. Available from: http://hdl.handle.net/10724/35569"

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


University of Kentucky

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

Degree: 2011, University of Kentucky

 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)

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

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APA (6th 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 (16th Edition):

Zhao, Jian. “Camera Planning and Fusion in a Heterogeneous Camera Network.” 2011. Doctoral Dissertation, University of Kentucky. Accessed September 25, 2020. https://uknowledge.uky.edu/ece_etds/2.

MLA Handbook (7th Edition):

Zhao, Jian. “Camera Planning and Fusion in a Heterogeneous Camera Network.” 2011. Web. 25 Sep 2020.

Vancouver:

Zhao J. Camera Planning and Fusion in a Heterogeneous Camera Network. [Internet] [Doctoral dissertation]. University of Kentucky; 2011. [cited 2020 Sep 25]. 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

17. 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

  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)

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

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APA (6th 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 (16th 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 September 25, 2020. https://digitalcommons.mtu.edu/etdr/720.

MLA Handbook (7th Edition):

Demars, Casey D. “Target detection, tracking, and localization using multi-spectral image fusion and RF Doppler differentials.” 2018. Web. 25 Sep 2020.

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 2020 Sep 25]. 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


Carnegie Mellon University

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

Degree: 2018, Carnegie Mellon University

 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 (6th 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 (16th Edition):

Han, Jun. “Advantages and Risks of Sensing for Cyber-Physical Security.” 2018. Thesis, Carnegie Mellon University. Accessed September 25, 2020. 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 (7th Edition):

Han, Jun. “Advantages and Risks of Sensing for Cyber-Physical Security.” 2018. Web. 25 Sep 2020.

Vancouver:

Han J. Advantages and Risks of Sensing for Cyber-Physical Security. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2020 Sep 25]. 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

19. Tonderski, Adam. Sensor Fusion with Failure Robustness A Deep Learning 3D Object Detection Architecture .

Degree: Chalmers tekniska högskola / Institutionen för fysik, 2019, Chalmers University of Technology

 Autonomous Driving is the task of navigating a vehicle without driver interaction. This requires accurate perception of the surroundings, which includes three dimensional object detection.… (more)

Subjects/Keywords: Deep Learning; Sensor Fusion; Object Detection; Sensor Failure; KITTI

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APA (6th Edition):

Tonderski, A. (2019). Sensor Fusion with Failure Robustness A Deep Learning 3D Object Detection Architecture . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300780

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

Chicago Manual of Style (16th Edition):

Tonderski, Adam. “Sensor Fusion with Failure Robustness A Deep Learning 3D Object Detection Architecture .” 2019. Thesis, Chalmers University of Technology. Accessed September 25, 2020. http://hdl.handle.net/20.500.12380/300780.

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

MLA Handbook (7th Edition):

Tonderski, Adam. “Sensor Fusion with Failure Robustness A Deep Learning 3D Object Detection Architecture .” 2019. Web. 25 Sep 2020.

Vancouver:

Tonderski A. Sensor Fusion with Failure Robustness A Deep Learning 3D Object Detection Architecture . [Internet] [Thesis]. Chalmers University of Technology; 2019. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/20.500.12380/300780.

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

Council of Science Editors:

Tonderski A. Sensor Fusion with Failure Robustness A Deep Learning 3D Object Detection Architecture . [Thesis]. Chalmers University of Technology; 2019. Available from: http://hdl.handle.net/20.500.12380/300780

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


Delft University of Technology

20. de Vries, Maarten (author). Multi-Rate Unscented Kalman Filtering for Pose Estimation: Using a car-like vehicle-platform.

Degree: 2019, Delft University of Technology

Pose estimation through fusion of GNSS with secondary sensors has long been an established field. With the developments surrounding autonomous navigation over the past decade… (more)

Subjects/Keywords: GNSS; Kalman Filter; Unscented Kalman; Pose estimation; sensor fusion; Multi-Rate; IMU sensor fusion; Vehicle-sensor; Protocol

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APA (6th Edition):

de Vries, M. (. (2019). Multi-Rate Unscented Kalman Filtering for Pose Estimation: Using a car-like vehicle-platform. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e5d2506a-df25-4187-8ffa-10ffd2c819c6

Chicago Manual of Style (16th Edition):

de Vries, Maarten (author). “Multi-Rate Unscented Kalman Filtering for Pose Estimation: Using a car-like vehicle-platform.” 2019. Masters Thesis, Delft University of Technology. Accessed September 25, 2020. http://resolver.tudelft.nl/uuid:e5d2506a-df25-4187-8ffa-10ffd2c819c6.

MLA Handbook (7th Edition):

de Vries, Maarten (author). “Multi-Rate Unscented Kalman Filtering for Pose Estimation: Using a car-like vehicle-platform.” 2019. Web. 25 Sep 2020.

Vancouver:

de Vries M(. Multi-Rate Unscented Kalman Filtering for Pose Estimation: Using a car-like vehicle-platform. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Sep 25]. Available from: http://resolver.tudelft.nl/uuid:e5d2506a-df25-4187-8ffa-10ffd2c819c6.

Council of Science Editors:

de Vries M(. Multi-Rate Unscented Kalman Filtering for Pose Estimation: Using a car-like vehicle-platform. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:e5d2506a-df25-4187-8ffa-10ffd2c819c6


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

 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)

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

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APA (6th 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 (16th Edition):

Ohri, Amit. “Wireless Sensor Fusion Approach for Monitoring Chemical Mechanical Planarization (CMP) Process.” 2010. Thesis, Oklahoma State University. Accessed September 25, 2020. 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 (7th Edition):

Ohri, Amit. “Wireless Sensor Fusion Approach for Monitoring Chemical Mechanical Planarization (CMP) Process.” 2010. Web. 25 Sep 2020.

Vancouver:

Ohri A. Wireless Sensor Fusion Approach for Monitoring Chemical Mechanical Planarization (CMP) Process. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2020 Sep 25]. 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

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)

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 (6th 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 (16th 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 September 25, 2020. http://www.theses.fr/2018ECDN0027.

MLA Handbook (7th 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. 25 Sep 2020.

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 2020 Sep 25]. 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

 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 (6th 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 (16th Edition):

Gallagher, Jonathan G. “Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking.” 2009. Masters Thesis, The Ohio State University. Accessed September 25, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041862.

MLA Handbook (7th Edition):

Gallagher, Jonathan G. “Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking.” 2009. Web. 25 Sep 2020.

Vancouver:

Gallagher JG. Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking. [Internet] [Masters thesis]. The Ohio State University; 2009. [cited 2020 Sep 25]. 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


University of Manchester

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

Degree: 2018, University of Manchester

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)

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

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APA (6th 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 (16th 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 September 25, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:314312.

MLA Handbook (7th Edition):

Zebin, Tahmina. “Wearable Inertial Multi-Sensor System for Physical Activity Analysis and Classification with Machine Learning Algorithms.” 2018. Web. 25 Sep 2020.

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 2020 Sep 25]. 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 Colorado

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

Degree: MS, 2017, University of Colorado

 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 (6th 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 (16th Edition):

Iglesias Echevarria, David I. “Cooperative Robot Localization Using Event-Triggered Estimation.” 2017. Masters Thesis, University of Colorado. Accessed September 25, 2020. https://scholar.colorado.edu/asen_gradetds/206.

MLA Handbook (7th Edition):

Iglesias Echevarria, David I. “Cooperative Robot Localization Using Event-Triggered Estimation.” 2017. Web. 25 Sep 2020.

Vancouver:

Iglesias Echevarria DI. Cooperative Robot Localization Using Event-Triggered Estimation. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2020 Sep 25]. 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 Colorado

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

Degree: MS, 2017, University of Colorado

 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 (6th 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 (16th Edition):

Iglesias Echevarria, David I. “Cooperative Robot Localization Using Event-Triggered Estimation.” 2017. Masters Thesis, University of Colorado. Accessed September 25, 2020. https://scholar.colorado.edu/asen_gradetds/185.

MLA Handbook (7th Edition):

Iglesias Echevarria, David I. “Cooperative Robot Localization Using Event-Triggered Estimation.” 2017. Web. 25 Sep 2020.

Vancouver:

Iglesias Echevarria DI. Cooperative Robot Localization Using Event-Triggered Estimation. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2020 Sep 25]. 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 Illinois – Chicago

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

Degree: 2017, University of Illinois – Chicago

 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 (6th 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 (16th Edition):

Khan, Nishat Anjum. “Multi-Sensor Preprocessing for Traffic Light Detection.” 2017. Thesis, University of Illinois – Chicago. Accessed September 25, 2020. 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 (7th Edition):

Khan, Nishat Anjum. “Multi-Sensor Preprocessing for Traffic Light Detection.” 2017. Web. 25 Sep 2020.

Vancouver:

Khan NA. Multi-Sensor Preprocessing for Traffic Light Detection. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Sep 25]. 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 Manchester

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

Degree: PhD, 2018, University of Manchester

 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)

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

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

APA (6th 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 (16th 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 September 25, 2020. 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 (7th Edition):

Zebin, Tahmina. “Wearable inertial multi-sensor system for physical activity analysis and classification with machine learning algorithms.” 2018. Web. 25 Sep 2020.

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 2020 Sep 25]. 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


Loughborough University

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

Degree: PhD, 2011, Loughborough University

 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)

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 (6th Edition):

Yang, Y. (2011). Wireless sensor data processing for on-site emergency response. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/8501

Chicago Manual of Style (16th Edition):

Yang, Yanning. “Wireless sensor data processing for on-site emergency response.” 2011. Doctoral Dissertation, Loughborough University. Accessed September 25, 2020. http://hdl.handle.net/2134/8501.

MLA Handbook (7th Edition):

Yang, Yanning. “Wireless sensor data processing for on-site emergency response.” 2011. Web. 25 Sep 2020.

Vancouver:

Yang Y. Wireless sensor data processing for on-site emergency response. [Internet] [Doctoral dissertation]. Loughborough University; 2011. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/2134/8501.

Council of Science Editors:

Yang Y. Wireless sensor data processing for on-site emergency response. [Doctoral Dissertation]. Loughborough University; 2011. Available from: http://hdl.handle.net/2134/8501


University of California – Berkeley

30. Chen, Wenjie. Intelligent Control of Robots with Mismatched Dynamics and Mismatched Sensing.

Degree: Mechanical Engineering, 2012, University of California – Berkeley

 Interest in industrial automation by robots has been continuously growing ever since the first industrial robot was installed in 1961. This creates an increasing demand… (more)

Subjects/Keywords: Mechanical engineering; Control; Industrial automation; Robot; Sensor fusion

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

APA (6th Edition):

Chen, W. (2012). Intelligent Control of Robots with Mismatched Dynamics and Mismatched Sensing. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/3076j4ff

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

Chicago Manual of Style (16th Edition):

Chen, Wenjie. “Intelligent Control of Robots with Mismatched Dynamics and Mismatched Sensing.” 2012. Thesis, University of California – Berkeley. Accessed September 25, 2020. http://www.escholarship.org/uc/item/3076j4ff.

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

MLA Handbook (7th Edition):

Chen, Wenjie. “Intelligent Control of Robots with Mismatched Dynamics and Mismatched Sensing.” 2012. Web. 25 Sep 2020.

Vancouver:

Chen W. Intelligent Control of Robots with Mismatched Dynamics and Mismatched Sensing. [Internet] [Thesis]. University of California – Berkeley; 2012. [cited 2020 Sep 25]. Available from: http://www.escholarship.org/uc/item/3076j4ff.

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

Council of Science Editors:

Chen W. Intelligent Control of Robots with Mismatched Dynamics and Mismatched Sensing. [Thesis]. University of California – Berkeley; 2012. Available from: http://www.escholarship.org/uc/item/3076j4ff

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

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