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You searched for subject:(Maneuvering target tracking Maximum Likelihood Probabilistic Data Association Algorithm Track initialization Low observable target tracking Joint Maximum Likelihood Probabilistic Data Association Algorithm). Showing records 1 – 30 of 87573 total matches.

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McMaster University

1. Sithiravel, Rajiv. B-Spline Based Multitarget Tracking.

Degree: PhD, 2014, McMaster University

 Multitarget tracking in the presence of false alarm is a difficult problem to consider. The objective of multitarget tracking is to estimate the number of… (more)

Subjects/Keywords: Multitarget tracking, Nonlinear filtering, Probability Hypothesis Density filter, Splines; Maneuvering target tracking, Maximum-Likelihood-Probabilistic Data Association Algorithm, Track initialization, Low observable target tracking, Joint Maximum-Likelihood-Probabilistic Data Association Algorithm

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

APA (6th Edition):

Sithiravel, R. (2014). B-Spline Based Multitarget Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16068

Chicago Manual of Style (16th Edition):

Sithiravel, Rajiv. “B-Spline Based Multitarget Tracking.” 2014. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/16068.

MLA Handbook (7th Edition):

Sithiravel, Rajiv. “B-Spline Based Multitarget Tracking.” 2014. Web. 16 Apr 2021.

Vancouver:

Sithiravel R. B-Spline Based Multitarget Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/16068.

Council of Science Editors:

Sithiravel R. B-Spline Based Multitarget Tracking. [Doctoral Dissertation]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/16068


Univerzitet u Beogradu

2. Radosavljević, Zvonko M. 1960-. Придруживање података Сингеровим меморијским филтром за праћење покретних циљева у густом клатеру.

Degree: Elektrotehnički fakultet, 2016, Univerzitet u Beogradu

обрада сигнала, системи аутоматског управљања, теорија естимације -праћење циљева / signal processing, automatic and control systems, theory of estimation-target tracking

Предмет истраживања ове дисертације је… (more)

Subjects/Keywords: data association; moving target tracking; Integrated Track Spliting; Singer memory filter

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APA (6th Edition):

Radosavljević, Z. M. 1. (2016). Придруживање података Сингеровим меморијским филтром за праћење покретних циљева у густом клатеру. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:12218/bdef:Content/get

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):

Radosavljević, Zvonko M 1960-. “Придруживање података Сингеровим меморијским филтром за праћење покретних циљева у густом клатеру.” 2016. Thesis, Univerzitet u Beogradu. Accessed April 16, 2021. https://fedorabg.bg.ac.rs/fedora/get/o:12218/bdef:Content/get.

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

MLA Handbook (7th Edition):

Radosavljević, Zvonko M 1960-. “Придруживање података Сингеровим меморијским филтром за праћење покретних циљева у густом клатеру.” 2016. Web. 16 Apr 2021.

Vancouver:

Radosavljević ZM1. Придруживање података Сингеровим меморијским филтром за праћење покретних циљева у густом клатеру. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2021 Apr 16]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12218/bdef:Content/get.

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

Council of Science Editors:

Radosavljević ZM1. Придруживање података Сингеровим меморијским филтром за праћење покретних циљева у густом клатеру. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:12218/bdef:Content/get

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


McMaster University

3. akbari, behzad. LANE TRACKING USING DEPENDENT EXTENDED TARGET MODELS.

Degree: PhD, 2021, McMaster University

 Detection of multiple-lane markings (lane-line) on road surfaces is an essential aspect of autonomous vehicles. Although several approaches have been proposed to detect lanes, detecting… (more)

Subjects/Keywords: Lane detection; lane tracking; Multi target tracking; Probability data association; Joint probability data association coupled filter; Multi output Gaussian process; Dependent multiple target tracking; Kernel based JPDACF

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

APA (6th Edition):

akbari, b. (2021). LANE TRACKING USING DEPENDENT EXTENDED TARGET MODELS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/26254

Chicago Manual of Style (16th Edition):

akbari, behzad. “LANE TRACKING USING DEPENDENT EXTENDED TARGET MODELS.” 2021. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/26254.

MLA Handbook (7th Edition):

akbari, behzad. “LANE TRACKING USING DEPENDENT EXTENDED TARGET MODELS.” 2021. Web. 16 Apr 2021.

Vancouver:

akbari b. LANE TRACKING USING DEPENDENT EXTENDED TARGET MODELS. [Internet] [Doctoral dissertation]. McMaster University; 2021. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/26254.

Council of Science Editors:

akbari b. LANE TRACKING USING DEPENDENT EXTENDED TARGET MODELS. [Doctoral Dissertation]. McMaster University; 2021. Available from: http://hdl.handle.net/11375/26254


Brno University of Technology

4. Šidó, Balázs. Sledování pohybu objektů v obrazovém signálu: Tracking the movement of objects in the video signal.

Degree: 2019, Brno University of Technology

 This thesis focuses on multiple object tracking in clutter environment. The paper describes two implementations of filters in detail, that are essentially based on the… (more)

Subjects/Keywords: Sledovani pohybu vice objektu; Kalmanuv filtr; Filtr nejblizsich sousedu; Pravdepodobnostni sdruzovani dat; Multiple target tracking; Kalman Filter; Nearest-Neighbour Filter; Probabilistic Data Association

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

APA (6th Edition):

Šidó, B. (2019). Sledování pohybu objektů v obrazovém signálu: Tracking the movement of objects in the video signal. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/65379

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):

Šidó, Balázs. “Sledování pohybu objektů v obrazovém signálu: Tracking the movement of objects in the video signal.” 2019. Thesis, Brno University of Technology. Accessed April 16, 2021. http://hdl.handle.net/11012/65379.

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

MLA Handbook (7th Edition):

Šidó, Balázs. “Sledování pohybu objektů v obrazovém signálu: Tracking the movement of objects in the video signal.” 2019. Web. 16 Apr 2021.

Vancouver:

Šidó B. Sledování pohybu objektů v obrazovém signálu: Tracking the movement of objects in the video signal. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11012/65379.

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

Council of Science Editors:

Šidó B. Sledování pohybu objektů v obrazovém signálu: Tracking the movement of objects in the video signal. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/65379

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


University of Illinois – Chicago

5. Langi, Fima Lanra Fredrik Gerarld. Analysis of Survey Data with Non-Ignorable Missing Covariates.

Degree: 2017, University of Illinois – Chicago

 Missing data are common in survey sampling, which create a spectrum of inferential problems. In this thesis, a method to analyze survey data with potentially… (more)

Subjects/Keywords: missing data; survey sampling; maximum likelihood; EM algorithm

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

APA (6th Edition):

Langi, F. L. F. G. (2017). Analysis of Survey Data with Non-Ignorable Missing Covariates. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22133

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):

Langi, Fima Lanra Fredrik Gerarld. “Analysis of Survey Data with Non-Ignorable Missing Covariates.” 2017. Thesis, University of Illinois – Chicago. Accessed April 16, 2021. http://hdl.handle.net/10027/22133.

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

MLA Handbook (7th Edition):

Langi, Fima Lanra Fredrik Gerarld. “Analysis of Survey Data with Non-Ignorable Missing Covariates.” 2017. Web. 16 Apr 2021.

Vancouver:

Langi FLFG. Analysis of Survey Data with Non-Ignorable Missing Covariates. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10027/22133.

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

Council of Science Editors:

Langi FLFG. Analysis of Survey Data with Non-Ignorable Missing Covariates. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22133

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


Loughborough University

6. ur-Rehman, Ata. Bayesian-based techniques for tracking multiple humans in an enclosed environment.

Degree: PhD, 2014, Loughborough University

 This thesis deals with the problem of online visual tracking of multiple humans in an enclosed environment. The focus is to develop techniques to deal… (more)

Subjects/Keywords: 620.001; Clustering; Occlusion; Data association; Multi-target tracking

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

APA (6th Edition):

ur-Rehman, A. (2014). Bayesian-based techniques for tracking multiple humans in an enclosed environment. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/14174

Chicago Manual of Style (16th Edition):

ur-Rehman, Ata. “Bayesian-based techniques for tracking multiple humans in an enclosed environment.” 2014. Doctoral Dissertation, Loughborough University. Accessed April 16, 2021. http://hdl.handle.net/2134/14174.

MLA Handbook (7th Edition):

ur-Rehman, Ata. “Bayesian-based techniques for tracking multiple humans in an enclosed environment.” 2014. Web. 16 Apr 2021.

Vancouver:

ur-Rehman A. Bayesian-based techniques for tracking multiple humans in an enclosed environment. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2134/14174.

Council of Science Editors:

ur-Rehman A. Bayesian-based techniques for tracking multiple humans in an enclosed environment. [Doctoral Dissertation]. Loughborough University; 2014. Available from: http://hdl.handle.net/2134/14174


The Ohio State University

7. Krishnaswamy, Sriram. On Computationally Efficient Frameworks For Data Association In Multi-Target Tracking.

Degree: PhD, Mechanical Engineering, 2019, The Ohio State University

 The aim of this dissertation is to examine ways of improving the computational efficiency of data association algorithms in tracking and to do so with… (more)

Subjects/Keywords: Mechanical Engineering; Aerospace Engineering; tensor decomposition, data association, target tracking

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

APA (6th Edition):

Krishnaswamy, S. (2019). On Computationally Efficient Frameworks For Data Association In Multi-Target Tracking. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1574672274983947

Chicago Manual of Style (16th Edition):

Krishnaswamy, Sriram. “On Computationally Efficient Frameworks For Data Association In Multi-Target Tracking.” 2019. Doctoral Dissertation, The Ohio State University. Accessed April 16, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574672274983947.

MLA Handbook (7th Edition):

Krishnaswamy, Sriram. “On Computationally Efficient Frameworks For Data Association In Multi-Target Tracking.” 2019. Web. 16 Apr 2021.

Vancouver:

Krishnaswamy S. On Computationally Efficient Frameworks For Data Association In Multi-Target Tracking. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2021 Apr 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1574672274983947.

Council of Science Editors:

Krishnaswamy S. On Computationally Efficient Frameworks For Data Association In Multi-Target Tracking. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1574672274983947


Rochester Institute of Technology

8. Herweg, Jared. Hyperspectral imaging and association phenomenology of pedestrians in a cluttered urban environment.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2012, Rochester Institute of Technology

  Remote hyperspectral imaging (HSI) has shown promise in several applications such as object detection and tracking. Typically research has focused on large objects, such… (more)

Subjects/Keywords: Hyperspectral imaging; Imaging phenomonology; Pedestrians; Target tracking; Track association

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

APA (6th Edition):

Herweg, J. (2012). Hyperspectral imaging and association phenomenology of pedestrians in a cluttered urban environment. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2899

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):

Herweg, Jared. “Hyperspectral imaging and association phenomenology of pedestrians in a cluttered urban environment.” 2012. Thesis, Rochester Institute of Technology. Accessed April 16, 2021. https://scholarworks.rit.edu/theses/2899.

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

MLA Handbook (7th Edition):

Herweg, Jared. “Hyperspectral imaging and association phenomenology of pedestrians in a cluttered urban environment.” 2012. Web. 16 Apr 2021.

Vancouver:

Herweg J. Hyperspectral imaging and association phenomenology of pedestrians in a cluttered urban environment. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2021 Apr 16]. Available from: https://scholarworks.rit.edu/theses/2899.

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

Council of Science Editors:

Herweg J. Hyperspectral imaging and association phenomenology of pedestrians in a cluttered urban environment. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/2899

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


University of Arizona

9. Brau Avila, Ernesto. Bayesian Data Association for Temporal Scene Understanding .

Degree: 2013, University of Arizona

 Understanding the content of a video sequence is not a particularly difficult problem for humans. We can easily identify objects, such as people, and track(more)

Subjects/Keywords: Data association; MCMC; Multiple target tracking; Scene understanding; Computer Science; Bayesian inference

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

APA (6th Edition):

Brau Avila, E. (2013). Bayesian Data Association for Temporal Scene Understanding . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/312653

Chicago Manual of Style (16th Edition):

Brau Avila, Ernesto. “Bayesian Data Association for Temporal Scene Understanding .” 2013. Doctoral Dissertation, University of Arizona. Accessed April 16, 2021. http://hdl.handle.net/10150/312653.

MLA Handbook (7th Edition):

Brau Avila, Ernesto. “Bayesian Data Association for Temporal Scene Understanding .” 2013. Web. 16 Apr 2021.

Vancouver:

Brau Avila E. Bayesian Data Association for Temporal Scene Understanding . [Internet] [Doctoral dissertation]. University of Arizona; 2013. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10150/312653.

Council of Science Editors:

Brau Avila E. Bayesian Data Association for Temporal Scene Understanding . [Doctoral Dissertation]. University of Arizona; 2013. Available from: http://hdl.handle.net/10150/312653


Delft University of Technology

10. Nagesh, Saravanan (author). Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space.

Degree: 2019, Delft University of Technology

 In this thesis, we propose, a Robust data extraction algorithm capable of extracting reliable target features of multiple moving targets of different classes over all… (more)

Subjects/Keywords: Multi Target Tracking; Feature extraction; polarimetry radar; Data association; Radar; Clustering; Fusion; Extended Target; Kalman Filter

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

APA (6th Edition):

Nagesh, S. (. (2019). Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:12a7b370-267b-482b-b4c7-4fce22e138b1

Chicago Manual of Style (16th Edition):

Nagesh, Saravanan (author). “Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space.” 2019. Masters Thesis, Delft University of Technology. Accessed April 16, 2021. http://resolver.tudelft.nl/uuid:12a7b370-267b-482b-b4c7-4fce22e138b1.

MLA Handbook (7th Edition):

Nagesh, Saravanan (author). “Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space.” 2019. Web. 16 Apr 2021.

Vancouver:

Nagesh S(. Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Apr 16]. Available from: http://resolver.tudelft.nl/uuid:12a7b370-267b-482b-b4c7-4fce22e138b1.

Council of Science Editors:

Nagesh S(. Robust Feature Extraction Algorithm for analysis of Radar Targets using Multi-Object Tracking on Range Velocity Space. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:12a7b370-267b-482b-b4c7-4fce22e138b1


NSYSU

11. Hsieh, Yu-Chen. Target Tracking and Data Fusion with Cooperative IMM-based Algorithm.

Degree: Master, Electrical Engineering, 2011, NSYSU

 In solving target tracking problems, the Kalman filter (KF) is a systematic estimation algorithm. Whether the state of a moving target adapts to the changes… (more)

Subjects/Keywords: target tracking; data fusion; dynamic linear model; interacting multiple model algorithm; cooperative system; Kalman filter

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

APA (6th Edition):

Hsieh, Y. (2011). Target Tracking and Data Fusion with Cooperative IMM-based Algorithm. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826111-182123

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):

Hsieh, Yu-Chen. “Target Tracking and Data Fusion with Cooperative IMM-based Algorithm.” 2011. Thesis, NSYSU. Accessed April 16, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826111-182123.

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

MLA Handbook (7th Edition):

Hsieh, Yu-Chen. “Target Tracking and Data Fusion with Cooperative IMM-based Algorithm.” 2011. Web. 16 Apr 2021.

Vancouver:

Hsieh Y. Target Tracking and Data Fusion with Cooperative IMM-based Algorithm. [Internet] [Thesis]. NSYSU; 2011. [cited 2021 Apr 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826111-182123.

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

Council of Science Editors:

Hsieh Y. Target Tracking and Data Fusion with Cooperative IMM-based Algorithm. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826111-182123

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


Brigham Young University

12. White, Jacob Harley. Real-Time Visual Multi-Target Tracking in Realistic Tracking Environments.

Degree: MS, 2019, Brigham Young University

 This thesis focuses on visual multiple-target tracking (MTT) from a UAV. Typical state-of-the-art multiple-target trackers rely on an object detector as the primary detection source.… (more)

Subjects/Keywords: unmanned aerial vehicle; multiple target tracking; motion detection; stationary object tracking; homography; probabistic data association; relative pose estimation; essential matrix; parallax

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

APA (6th Edition):

White, J. H. (2019). Real-Time Visual Multi-Target Tracking in Realistic Tracking Environments. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8486&context=etd

Chicago Manual of Style (16th Edition):

White, Jacob Harley. “Real-Time Visual Multi-Target Tracking in Realistic Tracking Environments.” 2019. Masters Thesis, Brigham Young University. Accessed April 16, 2021. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8486&context=etd.

MLA Handbook (7th Edition):

White, Jacob Harley. “Real-Time Visual Multi-Target Tracking in Realistic Tracking Environments.” 2019. Web. 16 Apr 2021.

Vancouver:

White JH. Real-Time Visual Multi-Target Tracking in Realistic Tracking Environments. [Internet] [Masters thesis]. Brigham Young University; 2019. [cited 2021 Apr 16]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8486&context=etd.

Council of Science Editors:

White JH. Real-Time Visual Multi-Target Tracking in Realistic Tracking Environments. [Masters Thesis]. Brigham Young University; 2019. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8486&context=etd


University of Windsor

13. Yenkanchi, Shashibushan. MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES.

Degree: MA, Electrical and Computer Engineering, 2016, University of Windsor

 Multi sensor Data Fusion for Advanced Driver Assistance Systems (ADAS) in Automotive industry has gained a lot of attention lately with the advent of self-driving… (more)

Subjects/Keywords: Autonomous vehicles; Data Association; Multi Object Detection; Multi Sensor Data Fusion; Multi Target Tracking; State Estimation

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

APA (6th Edition):

Yenkanchi, S. (2016). MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5680

Chicago Manual of Style (16th Edition):

Yenkanchi, Shashibushan. “MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES.” 2016. Masters Thesis, University of Windsor. Accessed April 16, 2021. https://scholar.uwindsor.ca/etd/5680.

MLA Handbook (7th Edition):

Yenkanchi, Shashibushan. “MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES.” 2016. Web. 16 Apr 2021.

Vancouver:

Yenkanchi S. MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES. [Internet] [Masters thesis]. University of Windsor; 2016. [cited 2021 Apr 16]. Available from: https://scholar.uwindsor.ca/etd/5680.

Council of Science Editors:

Yenkanchi S. MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES. [Masters Thesis]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5680


University of Iowa

14. Jiao, Feiran. High-dimensional inference of ordinal data with medical applications.

Degree: PhD, Statistics, 2016, University of Iowa

  Ordinal response variables abound in scientific and quantitative analyses, whose outcomes comprise a few categorical values that admit a natural ordering, so that their… (more)

Subjects/Keywords: bi-level variable selection; composite bridge penalty; cumulative link model; lung image data; MM algorithm; penalized maximum likelihood

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APA (6th Edition):

Jiao, F. (2016). High-dimensional inference of ordinal data with medical applications. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/6150

Chicago Manual of Style (16th Edition):

Jiao, Feiran. “High-dimensional inference of ordinal data with medical applications.” 2016. Doctoral Dissertation, University of Iowa. Accessed April 16, 2021. https://ir.uiowa.edu/etd/6150.

MLA Handbook (7th Edition):

Jiao, Feiran. “High-dimensional inference of ordinal data with medical applications.” 2016. Web. 16 Apr 2021.

Vancouver:

Jiao F. High-dimensional inference of ordinal data with medical applications. [Internet] [Doctoral dissertation]. University of Iowa; 2016. [cited 2021 Apr 16]. Available from: https://ir.uiowa.edu/etd/6150.

Council of Science Editors:

Jiao F. High-dimensional inference of ordinal data with medical applications. [Doctoral Dissertation]. University of Iowa; 2016. Available from: https://ir.uiowa.edu/etd/6150


NSYSU

15. Wang, Sung-chieh. Applications of Cost Function-Based Particle Filters for Maneuvering Target Tracking.

Degree: Master, Electrical Engineering, 2007, NSYSU

 For the environment of target tracking with highly non-linear models and non-Gaussian noise, the tracking performance of the particle filter is better than extended Kalman… (more)

Subjects/Keywords: cost function-based particle filter; data association; extended Kalman filter; multiple maneuvering target tracking

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APA (6th Edition):

Wang, S. (2007). Applications of Cost Function-Based Particle Filters for Maneuvering Target Tracking. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0823107-134024

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):

Wang, Sung-chieh. “Applications of Cost Function-Based Particle Filters for Maneuvering Target Tracking.” 2007. Thesis, NSYSU. Accessed April 16, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0823107-134024.

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

MLA Handbook (7th Edition):

Wang, Sung-chieh. “Applications of Cost Function-Based Particle Filters for Maneuvering Target Tracking.” 2007. Web. 16 Apr 2021.

Vancouver:

Wang S. Applications of Cost Function-Based Particle Filters for Maneuvering Target Tracking. [Internet] [Thesis]. NSYSU; 2007. [cited 2021 Apr 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0823107-134024.

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

Council of Science Editors:

Wang S. Applications of Cost Function-Based Particle Filters for Maneuvering Target Tracking. [Thesis]. NSYSU; 2007. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0823107-134024

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


Utah State University

16. Mathews, Rejoy Roy. Decoding LDPC Codes with Probabilistic Local Maximum Likelihood Bit Flipping.

Degree: MS, Electrical and Computer Engineering, 2020, Utah State University

  Communication channels are inherently noisy making error correction coding a major topic of research for modern communication systems. Error correction coding is the addition… (more)

Subjects/Keywords: Low-Density Parity-Check; Error detection and correction; Maximum Likelihood decoding; Reliable communication; Probabilistic Bit-Flipping; Computer Engineering

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APA (6th Edition):

Mathews, R. R. (2020). Decoding LDPC Codes with Probabilistic Local Maximum Likelihood Bit Flipping. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7725

Chicago Manual of Style (16th Edition):

Mathews, Rejoy Roy. “Decoding LDPC Codes with Probabilistic Local Maximum Likelihood Bit Flipping.” 2020. Masters Thesis, Utah State University. Accessed April 16, 2021. https://digitalcommons.usu.edu/etd/7725.

MLA Handbook (7th Edition):

Mathews, Rejoy Roy. “Decoding LDPC Codes with Probabilistic Local Maximum Likelihood Bit Flipping.” 2020. Web. 16 Apr 2021.

Vancouver:

Mathews RR. Decoding LDPC Codes with Probabilistic Local Maximum Likelihood Bit Flipping. [Internet] [Masters thesis]. Utah State University; 2020. [cited 2021 Apr 16]. Available from: https://digitalcommons.usu.edu/etd/7725.

Council of Science Editors:

Mathews RR. Decoding LDPC Codes with Probabilistic Local Maximum Likelihood Bit Flipping. [Masters Thesis]. Utah State University; 2020. Available from: https://digitalcommons.usu.edu/etd/7725

17. Sjöblom, Olle. Algorithm Design for Driver Attention Monitoring.

Degree: Faculty of Science & Engineering, 2015, Linköping UniversityLinköping University

  The concept driver distraction is diffuse and no clear definition exists, which causes troubles when it comes to driver attention monitoring. This thesis takes… (more)

Subjects/Keywords: Target tracking; radar; Kalman filter; eye-tracking; driver attention; algorithm

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APA (6th Edition):

Sjöblom, O. (2015). Algorithm Design for Driver Attention Monitoring. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120762

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):

Sjöblom, Olle. “Algorithm Design for Driver Attention Monitoring.” 2015. Thesis, Linköping UniversityLinköping University. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120762.

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

MLA Handbook (7th Edition):

Sjöblom, Olle. “Algorithm Design for Driver Attention Monitoring.” 2015. Web. 16 Apr 2021.

Vancouver:

Sjöblom O. Algorithm Design for Driver Attention Monitoring. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120762.

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

Council of Science Editors:

Sjöblom O. Algorithm Design for Driver Attention Monitoring. [Thesis]. Linköping UniversityLinköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120762

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


University of Georgia

18. Tewari, Susanta. Construction of high-resolution likelihood-based integrated genetic and physical map of Neurospora crassa.

Degree: 2014, University of Georgia

 Neurospora crassa, a model organism has been extensively used to explore fundamental cellular processes, such as recombination and for construction of high-resolution maps because of… (more)

Subjects/Keywords: Genetic Map,Physical Map,RFLP Data,Hybridization Data,Recombination; Simulated Annealing; Maximum Likelihood Estimator; Whole Genome-shotgun Sequencing,Tetrad Analysis,EM Algorithm,Recursive Linking,Time Complexity

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APA (6th Edition):

Tewari, S. (2014). Construction of high-resolution likelihood-based integrated genetic and physical map of Neurospora crassa. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/25068

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):

Tewari, Susanta. “Construction of high-resolution likelihood-based integrated genetic and physical map of Neurospora crassa.” 2014. Thesis, University of Georgia. Accessed April 16, 2021. http://hdl.handle.net/10724/25068.

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

MLA Handbook (7th Edition):

Tewari, Susanta. “Construction of high-resolution likelihood-based integrated genetic and physical map of Neurospora crassa.” 2014. Web. 16 Apr 2021.

Vancouver:

Tewari S. Construction of high-resolution likelihood-based integrated genetic and physical map of Neurospora crassa. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10724/25068.

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

Council of Science Editors:

Tewari S. Construction of high-resolution likelihood-based integrated genetic and physical map of Neurospora crassa. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/25068

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


University of Southern California

19. Kuo, Cheng-Hao. Multiple pedestrians tracking by discriminative models.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 We present our work on multiple pedestrians tracking in a single camera and across multiple non-overlapping cameras. We propose an approach for online learning of… (more)

Subjects/Keywords: adaboost; association-based tracking; detection-based tracking; discriminative models; multiple instance learning; mutli-target tracking

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APA (6th Edition):

Kuo, C. (2011). Multiple pedestrians tracking by discriminative models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4282

Chicago Manual of Style (16th Edition):

Kuo, Cheng-Hao. “Multiple pedestrians tracking by discriminative models.” 2011. Doctoral Dissertation, University of Southern California. Accessed April 16, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4282.

MLA Handbook (7th Edition):

Kuo, Cheng-Hao. “Multiple pedestrians tracking by discriminative models.” 2011. Web. 16 Apr 2021.

Vancouver:

Kuo C. Multiple pedestrians tracking by discriminative models. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2021 Apr 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4282.

Council of Science Editors:

Kuo C. Multiple pedestrians tracking by discriminative models. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4282


NSYSU

20. Shiu, Jia-yu. Dual-IMM System for Target Tracking and Data Fusion.

Degree: Master, Electrical Engineering, 2009, NSYSU

 In solving target tracking problems, the Kalman filter (KF) is one of the most widely used estimators. Whether the state of target movement adapts to… (more)

Subjects/Keywords: data fusion; Kalman filter; target tracking; IMM

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APA (6th Edition):

Shiu, J. (2009). Dual-IMM System for Target Tracking and Data Fusion. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446

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):

Shiu, Jia-yu. “Dual-IMM System for Target Tracking and Data Fusion.” 2009. Thesis, NSYSU. Accessed April 16, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446.

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

MLA Handbook (7th Edition):

Shiu, Jia-yu. “Dual-IMM System for Target Tracking and Data Fusion.” 2009. Web. 16 Apr 2021.

Vancouver:

Shiu J. Dual-IMM System for Target Tracking and Data Fusion. [Internet] [Thesis]. NSYSU; 2009. [cited 2021 Apr 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446.

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

Council of Science Editors:

Shiu J. Dual-IMM System for Target Tracking and Data Fusion. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830109-170446

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


NSYSU

21. Lin, Yu-Tsen. Improved Particle Filter for Target Tracking in Decentralized Data Fusion System.

Degree: Master, Electrical Engineering, 2009, NSYSU

 In this thesis, we investigate a decentralized data fusion system with improved particle filters for target tracking. In many application areas, it becomes essential to… (more)

Subjects/Keywords: decentralized data fusion; target tracking; particle filter

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APA (6th Edition):

Lin, Y. (2009). Improved Particle Filter for Target Tracking in Decentralized Data Fusion System. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910

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):

Lin, Yu-Tsen. “Improved Particle Filter for Target Tracking in Decentralized Data Fusion System.” 2009. Thesis, NSYSU. Accessed April 16, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910.

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

MLA Handbook (7th Edition):

Lin, Yu-Tsen. “Improved Particle Filter for Target Tracking in Decentralized Data Fusion System.” 2009. Web. 16 Apr 2021.

Vancouver:

Lin Y. Improved Particle Filter for Target Tracking in Decentralized Data Fusion System. [Internet] [Thesis]. NSYSU; 2009. [cited 2021 Apr 16]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910.

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

Council of Science Editors:

Lin Y. Improved Particle Filter for Target Tracking in Decentralized Data Fusion System. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906109-030910

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


Penn State University

22. Windish, John Joseph. Synchronization in Communications Systems with Scale Time Offset Robust Modulation.

Degree: 2012, Penn State University

 Synchronization in wireless communications is an important problem. Good synchronization is critical to reliable signal detection and estimation. In this thesis, the concept of synchronization… (more)

Subjects/Keywords: timing; signal processing algorithm; maximum likelihood detection; correlation; synchronization

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APA (6th Edition):

Windish, J. J. (2012). Synchronization in Communications Systems with Scale Time Offset Robust Modulation. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13730

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):

Windish, John Joseph. “Synchronization in Communications Systems with Scale Time Offset Robust Modulation.” 2012. Thesis, Penn State University. Accessed April 16, 2021. https://submit-etda.libraries.psu.edu/catalog/13730.

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

MLA Handbook (7th Edition):

Windish, John Joseph. “Synchronization in Communications Systems with Scale Time Offset Robust Modulation.” 2012. Web. 16 Apr 2021.

Vancouver:

Windish JJ. Synchronization in Communications Systems with Scale Time Offset Robust Modulation. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Apr 16]. Available from: https://submit-etda.libraries.psu.edu/catalog/13730.

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

Council of Science Editors:

Windish JJ. Synchronization in Communications Systems with Scale Time Offset Robust Modulation. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/13730

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

23. Li, Cong. A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater.

Degree: Statistics, 2012, Uppsala University

  Groundwater data in this thesis, which is taken from the database of Sveriges Geologiska Undersökning, characterizes chemical and quantitative status of groundwater in Sweden.… (more)

Subjects/Keywords: groundwater; left-censored data; the EM algorithm; maximum likelihood estimation

…x28;11) To find the maximum likelihood estimates of ϕ, σ, the results are recorded as ϕ… …expectation of the log-likelihood can only be taken when we just know the censored data. Once the… …data is observed, we just put the ordinary log-likelihood function into the calculations… …4.11 and 0.73. Observing the data, the likelihood function L should satisfy the next equation… …and the MSE of the data with predic- tions from the EM algorithm is M SE = 1 mn (xij… 

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APA (6th Edition):

Li, C. (2012). A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175833

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):

Li, Cong. “A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater.” 2012. Thesis, Uppsala University. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175833.

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

MLA Handbook (7th Edition):

Li, Cong. “A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater.” 2012. Web. 16 Apr 2021.

Vancouver:

Li C. A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater. [Internet] [Thesis]. Uppsala University; 2012. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175833.

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

Council of Science Editors:

Li C. A comparably robust approach to estimate the left-censored data of trace elements in Swedish groundwater. [Thesis]. Uppsala University; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175833

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


Penn State University

24. Ji, Linying. Handling Missing Data in the Modeling of Intensive Longitudinal Data.

Degree: 2016, Penn State University

 The availability of intensive longitudinal data has helped spur the use more sophisticated methods for studying change. Unfortunately, missing data issues also arise frequently in… (more)

Subjects/Keywords: intensive longitudinal data; missing data; multiple imputation; full-information maximum likelihood

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APA (6th Edition):

Ji, L. (2016). Handling Missing Data in the Modeling of Intensive Longitudinal Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28928

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):

Ji, Linying. “Handling Missing Data in the Modeling of Intensive Longitudinal Data.” 2016. Thesis, Penn State University. Accessed April 16, 2021. https://submit-etda.libraries.psu.edu/catalog/28928.

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

MLA Handbook (7th Edition):

Ji, Linying. “Handling Missing Data in the Modeling of Intensive Longitudinal Data.” 2016. Web. 16 Apr 2021.

Vancouver:

Ji L. Handling Missing Data in the Modeling of Intensive Longitudinal Data. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Apr 16]. Available from: https://submit-etda.libraries.psu.edu/catalog/28928.

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

Council of Science Editors:

Ji L. Handling Missing Data in the Modeling of Intensive Longitudinal Data. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28928

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

25. Vestin, Albin. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.

Degree: Automatic Control, 2019, Linköping University

  Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking(more)

Subjects/Keywords: evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m/n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking; Control Engineering; Reglerteknik

…smoothing [5]. 2.5 Data Association For multiple target tracking there exists a… …Filter ROI Track Data Association Status Data Logs LIDAR Ego motion GNN and Track… …to formulate the data association problem and solves it using the Auction Algorithm. The… …is used. The data association and track management is implemented as the following steps: 1… …xi Notation OTHER N OTATIONS Notation Track Target Ego Tracker Ground truth Tentative… 

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APA (6th Edition):

Vestin, A. (2019). Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020

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):

Vestin, Albin. “Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.” 2019. Thesis, Linköping University. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

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

MLA Handbook (7th Edition):

Vestin, Albin. “Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.” 2019. Web. 16 Apr 2021.

Vancouver:

Vestin A. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. [Internet] [Thesis]. Linköping University; 2019. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

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

Council of Science Editors:

Vestin A. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020

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

26. Karimi, Maryam. Modélisation conjointe de trajectoire socioprofessionnelle individuelle et de la survie globale ou spécifique : Joint modeling of individual socio-professional trajectory and overall or cause-specific survival.

Degree: Docteur es, Santé publique - biostatistiques, 2016, Université Paris-Saclay (ComUE)

 Appartenir à une catégorie socio-économique moins élevée est généralement associé à une mortalité plus élevée pour de nombreuses causes de décès. De précédentes études ont… (more)

Subjects/Keywords: Modèles conjoints; Modèles linéaires généralisés mixtes; Données longitudinales; Risques concurrents; Risque cause-spécifique; Modèle de Cox; Algorithme EM; Maximum de vraisemblance; Régression de Poisson; Effets aléatoires; Joint models; Generalized linear mixed models; Longitudinal data; Copmeting risks; Cause-specific hazard; Cox model; EM algorithm; Maximum likelihood; Poisson regression; Random effects

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APA (6th Edition):

Karimi, M. (2016). Modélisation conjointe de trajectoire socioprofessionnelle individuelle et de la survie globale ou spécifique : Joint modeling of individual socio-professional trajectory and overall or cause-specific survival. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2016SACLS120

Chicago Manual of Style (16th Edition):

Karimi, Maryam. “Modélisation conjointe de trajectoire socioprofessionnelle individuelle et de la survie globale ou spécifique : Joint modeling of individual socio-professional trajectory and overall or cause-specific survival.” 2016. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed April 16, 2021. http://www.theses.fr/2016SACLS120.

MLA Handbook (7th Edition):

Karimi, Maryam. “Modélisation conjointe de trajectoire socioprofessionnelle individuelle et de la survie globale ou spécifique : Joint modeling of individual socio-professional trajectory and overall or cause-specific survival.” 2016. Web. 16 Apr 2021.

Vancouver:

Karimi M. Modélisation conjointe de trajectoire socioprofessionnelle individuelle et de la survie globale ou spécifique : Joint modeling of individual socio-professional trajectory and overall or cause-specific survival. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2016. [cited 2021 Apr 16]. Available from: http://www.theses.fr/2016SACLS120.

Council of Science Editors:

Karimi M. Modélisation conjointe de trajectoire socioprofessionnelle individuelle et de la survie globale ou spécifique : Joint modeling of individual socio-professional trajectory and overall or cause-specific survival. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2016. Available from: http://www.theses.fr/2016SACLS120


Delft University of Technology

27. Richa, Eduardo (author). Jump Markov Nonlinear System Identification in Multi-Sensor Target Tracking: A Novel Approach for Multiple Model Joint Tracking and Behavior Classification.

Degree: 2018, Delft University of Technology

The detection of unusual behavior plays a crucial role in the prevention of illegal and harmful activities such as smuggling, piracy, arms trading, human trafficking… (more)

Subjects/Keywords: expectation maximization; trajectory analysis; classification; tracking; parameter estimation; maximum likelihood; time series; state-space models; hybrid systems; jump-Markov systems; nonlinear systems; multiple model; particle filters; sequential Monte Carlo; importance sampling; smoothing; joint tracking and classification; Bayesian inference; hidden Markov model; unsupervised learning; data fusion; sensor fusion; information fusion; recognition; system identification

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

APA (6th Edition):

Richa, E. (. (2018). Jump Markov Nonlinear System Identification in Multi-Sensor Target Tracking: A Novel Approach for Multiple Model Joint Tracking and Behavior Classification. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3462bf37-91cd-467a-a20b-2f5e787f9ac5

Chicago Manual of Style (16th Edition):

Richa, Eduardo (author). “Jump Markov Nonlinear System Identification in Multi-Sensor Target Tracking: A Novel Approach for Multiple Model Joint Tracking and Behavior Classification.” 2018. Masters Thesis, Delft University of Technology. Accessed April 16, 2021. http://resolver.tudelft.nl/uuid:3462bf37-91cd-467a-a20b-2f5e787f9ac5.

MLA Handbook (7th Edition):

Richa, Eduardo (author). “Jump Markov Nonlinear System Identification in Multi-Sensor Target Tracking: A Novel Approach for Multiple Model Joint Tracking and Behavior Classification.” 2018. Web. 16 Apr 2021.

Vancouver:

Richa E(. Jump Markov Nonlinear System Identification in Multi-Sensor Target Tracking: A Novel Approach for Multiple Model Joint Tracking and Behavior Classification. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 16]. Available from: http://resolver.tudelft.nl/uuid:3462bf37-91cd-467a-a20b-2f5e787f9ac5.

Council of Science Editors:

Richa E(. Jump Markov Nonlinear System Identification in Multi-Sensor Target Tracking: A Novel Approach for Multiple Model Joint Tracking and Behavior Classification. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:3462bf37-91cd-467a-a20b-2f5e787f9ac5

28. PANKAJ KUMAR. Multi-body tracking and behavior analysis.

Degree: 2004, National University of Singapore

Subjects/Keywords: Segmentation; Multi-Target Tracking; Data association; Split-merge analysis; Bayesian network; Behavior analysis

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

APA (6th Edition):

KUMAR, P. (2004). Multi-body tracking and behavior analysis. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14232

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):

KUMAR, PANKAJ. “Multi-body tracking and behavior analysis.” 2004. Thesis, National University of Singapore. Accessed April 16, 2021. http://scholarbank.nus.edu.sg/handle/10635/14232.

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

MLA Handbook (7th Edition):

KUMAR, PANKAJ. “Multi-body tracking and behavior analysis.” 2004. Web. 16 Apr 2021.

Vancouver:

KUMAR P. Multi-body tracking and behavior analysis. [Internet] [Thesis]. National University of Singapore; 2004. [cited 2021 Apr 16]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14232.

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

Council of Science Editors:

KUMAR P. Multi-body tracking and behavior analysis. [Thesis]. National University of Singapore; 2004. Available from: http://scholarbank.nus.edu.sg/handle/10635/14232

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


Iowa State University

29. Dai, Fan. Factor models for big data.

Degree: 2020, Iowa State University

 This dissertation is motivated by clustering dendritic spines which have attracted interest in neuroscience because the morphology of spines are closely related to brain functionality.… (more)

Subjects/Keywords: AECM algorithm; Directional data; Lanczos algorithm; Profile likelihood; Projected normal

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

APA (6th Edition):

Dai, F. (2020). Factor models for big data. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/18299

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):

Dai, Fan. “Factor models for big data.” 2020. Thesis, Iowa State University. Accessed April 16, 2021. https://lib.dr.iastate.edu/etd/18299.

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

MLA Handbook (7th Edition):

Dai, Fan. “Factor models for big data.” 2020. Web. 16 Apr 2021.

Vancouver:

Dai F. Factor models for big data. [Internet] [Thesis]. Iowa State University; 2020. [cited 2021 Apr 16]. Available from: https://lib.dr.iastate.edu/etd/18299.

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

Council of Science Editors:

Dai F. Factor models for big data. [Thesis]. Iowa State University; 2020. Available from: https://lib.dr.iastate.edu/etd/18299

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


University of Wisconsin – Milwaukee

30. Gebauer, Madlen. Semiparametric Estimation of the Survival Function in the Presence of Covariates.

Degree: MS, Mathematics, 2015, University of Wisconsin – Milwaukee

  The main interest of survival analysis is to estimate the distribution function of the survival time based on observations of a random sample. In… (more)

Subjects/Keywords: Censored Data; Confidence Band; Covariates; Likelihood Ratio; Maximum Likelihood Estimation; Semiparametric Estimator; Mathematics

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

APA (6th Edition):

Gebauer, M. (2015). Semiparametric Estimation of the Survival Function in the Presence of Covariates. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/805

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):

Gebauer, Madlen. “Semiparametric Estimation of the Survival Function in the Presence of Covariates.” 2015. Thesis, University of Wisconsin – Milwaukee. Accessed April 16, 2021. https://dc.uwm.edu/etd/805.

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

MLA Handbook (7th Edition):

Gebauer, Madlen. “Semiparametric Estimation of the Survival Function in the Presence of Covariates.” 2015. Web. 16 Apr 2021.

Vancouver:

Gebauer M. Semiparametric Estimation of the Survival Function in the Presence of Covariates. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2015. [cited 2021 Apr 16]. Available from: https://dc.uwm.edu/etd/805.

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

Council of Science Editors:

Gebauer M. Semiparametric Estimation of the Survival Function in the Presence of Covariates. [Thesis]. University of Wisconsin – Milwaukee; 2015. Available from: https://dc.uwm.edu/etd/805

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

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