Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(multitarget tracking). Showing records 1 – 14 of 14 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters

1. Brendel, William. From multitarget tracking to event recognition in videos.

Degree: PhD, Computer Science, 2011, Oregon State University

 This dissertation addresses two fundamental problems in computer vision—namely, multitarget tracking and event recognition in videos. These problems are challenging because uncertainty may arise from… (more)

Subjects/Keywords: multitarget tracking; Computer vision

…fundamental problems in computer vision: multitarget tracking and activity recognition. Given a… …the goals G1–G3 with the following contributions: • Multitarget tracking is formulated as a… …theoretical analysis. • A multiscale multitarget tracking has been formulated as blocky video… …representation. Multitarget tracking is addressed in Chapter 3. Given a set of objects extracted from… …pairwise constraints – for example in the context of segmentation or multitarget tracking – can… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Brendel, W. (2011). From multitarget tracking to event recognition in videos. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/21315

Chicago Manual of Style (16th Edition):

Brendel, William. “From multitarget tracking to event recognition in videos.” 2011. Doctoral Dissertation, Oregon State University. Accessed April 16, 2021. http://hdl.handle.net/1957/21315.

MLA Handbook (7th Edition):

Brendel, William. “From multitarget tracking to event recognition in videos.” 2011. Web. 16 Apr 2021.

Vancouver:

Brendel W. From multitarget tracking to event recognition in videos. [Internet] [Doctoral dissertation]. Oregon State University; 2011. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1957/21315.

Council of Science Editors:

Brendel W. From multitarget tracking to event recognition in videos. [Doctoral Dissertation]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/21315


Georgia Tech

2. Leven, William Franklin. Approximate Cramer-Rao Bounds for Multiple Target Tracking.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 The main objective of this dissertation is to develop mean-squared error performance predictions for multiple target tracking. Envisioned as an approximate Cramer-Rao lower bound, these… (more)

Subjects/Keywords: Multitarget tracking; UKF; SME; EKF

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Leven, W. F. (2006). Approximate Cramer-Rao Bounds for Multiple Target Tracking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/10507

Chicago Manual of Style (16th Edition):

Leven, William Franklin. “Approximate Cramer-Rao Bounds for Multiple Target Tracking.” 2006. Doctoral Dissertation, Georgia Tech. Accessed April 16, 2021. http://hdl.handle.net/1853/10507.

MLA Handbook (7th Edition):

Leven, William Franklin. “Approximate Cramer-Rao Bounds for Multiple Target Tracking.” 2006. Web. 16 Apr 2021.

Vancouver:

Leven WF. Approximate Cramer-Rao Bounds for Multiple Target Tracking. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1853/10507.

Council of Science Editors:

Leven WF. Approximate Cramer-Rao Bounds for Multiple Target Tracking. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/10507


University of Oulu

3. Macagnano, D. (Davide). Multitarget localization and tracking:active and passive solutions.

Degree: 2012, University of Oulu

Abstract Localization and tracking of multiple targets is becoming an essential feature of modern communication services and systems. Although necessary in many contexts, such as… (more)

Subjects/Keywords: Jacobi algorithm; adaptive gating; multidimensional scaling (MDS); multitarget localization; passive multitarget tracking; subspace tracking; Jacobin algoritmi; adaptiivinen portitus; alivaruusseuranta; monikohdepaikannus; moniulotteinen skaalaus (MDS); passiivinen monikohdeseuranta

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Macagnano, D. (. (2012). Multitarget localization and tracking:active and passive solutions. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514298592

Chicago Manual of Style (16th Edition):

Macagnano, D (Davide). “Multitarget localization and tracking:active and passive solutions.” 2012. Doctoral Dissertation, University of Oulu. Accessed April 16, 2021. http://urn.fi/urn:isbn:9789514298592.

MLA Handbook (7th Edition):

Macagnano, D (Davide). “Multitarget localization and tracking:active and passive solutions.” 2012. Web. 16 Apr 2021.

Vancouver:

Macagnano D(. Multitarget localization and tracking:active and passive solutions. [Internet] [Doctoral dissertation]. University of Oulu; 2012. [cited 2021 Apr 16]. Available from: http://urn.fi/urn:isbn:9789514298592.

Council of Science Editors:

Macagnano D(. Multitarget localization and tracking:active and passive solutions. [Doctoral Dissertation]. University of Oulu; 2012. Available from: http://urn.fi/urn:isbn:9789514298592


KTH

4. Andersson, Anton. Offline Sensor Fusion for Multitarget Tracking using Radar and Camera Detection.

Degree: Computer Science and Communication (CSC), 2017, KTH

Autonomous driving systems are rapidly improving and may have the ability to change society in the coming decade. One important part of these systems… (more)

Subjects/Keywords: Sensor Fusion; Energy Minimisation; Multitarget Tracking; Autonomous Vehicles; Computer Sciences; Datavetenskap (datalogi)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Andersson, A. (2017). Offline Sensor Fusion for Multitarget Tracking using Radar and Camera Detection. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208344

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):

Andersson, Anton. “Offline Sensor Fusion for Multitarget Tracking using Radar and Camera Detection.” 2017. Thesis, KTH. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208344.

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

MLA Handbook (7th Edition):

Andersson, Anton. “Offline Sensor Fusion for Multitarget Tracking using Radar and Camera Detection.” 2017. Web. 16 Apr 2021.

Vancouver:

Andersson A. Offline Sensor Fusion for Multitarget Tracking using Radar and Camera Detection. [Internet] [Thesis]. KTH; 2017. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208344.

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

Council of Science Editors:

Andersson A. Offline Sensor Fusion for Multitarget Tracking using Radar and Camera Detection. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208344

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


McMaster University

5. Punithakumar, K. Nonlinear Filtering Algorithms for Multitarget Tracking.

Degree: 2007, McMaster University

Tracking multiple targets with uncertain target dynamics is a difficult problem, especially with nonlinear state and/or measurement equations. Random finite set theory provides a rigorous… (more)

Subjects/Keywords: Probability Hypothesis Density filter; multitarget tracking; SNR targets; sensors

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Punithakumar, K. (2007). Nonlinear Filtering Algorithms for Multitarget Tracking. (Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/16632

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):

Punithakumar, K. “Nonlinear Filtering Algorithms for Multitarget Tracking.” 2007. Thesis, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/16632.

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

MLA Handbook (7th Edition):

Punithakumar, K. “Nonlinear Filtering Algorithms for Multitarget Tracking.” 2007. Web. 16 Apr 2021.

Vancouver:

Punithakumar K. Nonlinear Filtering Algorithms for Multitarget Tracking. [Internet] [Thesis]. McMaster University; 2007. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/16632.

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

Council of Science Editors:

Punithakumar K. Nonlinear Filtering Algorithms for Multitarget Tracking. [Thesis]. McMaster University; 2007. Available from: http://hdl.handle.net/11375/16632

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


McMaster University

6. Akselrod , D. Sensor Management and Information Flow Control for Multisensor Multitarget Tracking and Data Fusion.

Degree: PhD, 2008, McMaster University

  In this thesis, we address the problem of sensor management with particular application to using unmanned aerial vehicles (U AV s) for multi target… (more)

Subjects/Keywords: sensor management; unmanned aerial vehicles; multitarget tracking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Akselrod , D. (2008). Sensor Management and Information Flow Control for Multisensor Multitarget Tracking and Data Fusion. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16710

Chicago Manual of Style (16th Edition):

Akselrod , D. “Sensor Management and Information Flow Control for Multisensor Multitarget Tracking and Data Fusion.” 2008. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/16710.

MLA Handbook (7th Edition):

Akselrod , D. “Sensor Management and Information Flow Control for Multisensor Multitarget Tracking and Data Fusion.” 2008. Web. 16 Apr 2021.

Vancouver:

Akselrod D. Sensor Management and Information Flow Control for Multisensor Multitarget Tracking and Data Fusion. [Internet] [Doctoral dissertation]. McMaster University; 2008. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/16710.

Council of Science Editors:

Akselrod D. Sensor Management and Information Flow Control for Multisensor Multitarget Tracking and Data Fusion. [Doctoral Dissertation]. McMaster University; 2008. Available from: http://hdl.handle.net/11375/16710


McMaster University

7. CHEN, XIN. Spatial Clutter Intensity Estimation for Multitarget Tracking.

Degree: PhD, 2012, McMaster University

In this thesis, the problem of estimating the clutter spatial intensity function for the multitarget tracking algorithms has been considered. In many scenarios, after… (more)

Subjects/Keywords: multitarget tracking; clutter estimation; spatial intensity; point process; Controls and Control Theory; Signal Processing; Controls and Control Theory

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

CHEN, X. (2012). Spatial Clutter Intensity Estimation for Multitarget Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/12397

Chicago Manual of Style (16th Edition):

CHEN, XIN. “Spatial Clutter Intensity Estimation for Multitarget Tracking.” 2012. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/12397.

MLA Handbook (7th Edition):

CHEN, XIN. “Spatial Clutter Intensity Estimation for Multitarget Tracking.” 2012. Web. 16 Apr 2021.

Vancouver:

CHEN X. Spatial Clutter Intensity Estimation for Multitarget Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2012. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/12397.

Council of Science Editors:

CHEN X. Spatial Clutter Intensity Estimation for Multitarget Tracking. [Doctoral Dissertation]. McMaster University; 2012. Available from: http://hdl.handle.net/11375/12397


McMaster University

8. Sivagnanam, Sutharsan. Joint Multitarget Tracking and Classification Using Aspect-Dependent Measurements.

Degree: PhD, 2009, McMaster University

In this thesis new joint target tracking and classification techniques for aspect-dependent measurements are developed. Joint target tracking and classification methods can result in… (more)

Subjects/Keywords: joint; target; tracking; classification; aspect-dependent; multitarget

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sivagnanam, S. (2009). Joint Multitarget Tracking and Classification Using Aspect-Dependent Measurements. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/17353

Chicago Manual of Style (16th Edition):

Sivagnanam, Sutharsan. “Joint Multitarget Tracking and Classification Using Aspect-Dependent Measurements.” 2009. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/17353.

MLA Handbook (7th Edition):

Sivagnanam, Sutharsan. “Joint Multitarget Tracking and Classification Using Aspect-Dependent Measurements.” 2009. Web. 16 Apr 2021.

Vancouver:

Sivagnanam S. Joint Multitarget Tracking and Classification Using Aspect-Dependent Measurements. [Internet] [Doctoral dissertation]. McMaster University; 2009. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/17353.

Council of Science Editors:

Sivagnanam S. Joint Multitarget Tracking and Classification Using Aspect-Dependent Measurements. [Doctoral Dissertation]. McMaster University; 2009. Available from: http://hdl.handle.net/11375/17353


McMaster University

9. Nadarajah, N. Retrodiction for Multitarget Tracking.

Degree: PhD, 2009, McMaster University

  Multi-Target Tracking (MTT), where the number of targets as well as their states are time-varying, concerns with the estimation of both the number of… (more)

Subjects/Keywords: electrical and computer engineering; retrodiction; multitarget tracking; smoothing; filtering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Nadarajah, N. (2009). Retrodiction for Multitarget Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/17364

Chicago Manual of Style (16th Edition):

Nadarajah, N. “Retrodiction for Multitarget Tracking.” 2009. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/17364.

MLA Handbook (7th Edition):

Nadarajah, N. “Retrodiction for Multitarget Tracking.” 2009. Web. 16 Apr 2021.

Vancouver:

Nadarajah N. Retrodiction for Multitarget Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2009. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/17364.

Council of Science Editors:

Nadarajah N. Retrodiction for Multitarget Tracking. [Doctoral Dissertation]. McMaster University; 2009. Available from: http://hdl.handle.net/11375/17364


University of Michigan

10. Kreucher, Christopher M. An information-based approach to sensor resource allocation.

Degree: PhD, Electrical engineering, 2005, University of Michigan

 This work addresses the problem of scheduling the resources of agile sensors. We advocate an information-based approach, where sensor tasking decisions are made based on… (more)

Subjects/Keywords: Approach; Based; Information Theory; Multitarget Tracking; Particle Filtering; Resource Allocation; Sensor

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kreucher, C. M. (2005). An information-based approach to sensor resource allocation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/124852

Chicago Manual of Style (16th Edition):

Kreucher, Christopher M. “An information-based approach to sensor resource allocation.” 2005. Doctoral Dissertation, University of Michigan. Accessed April 16, 2021. http://hdl.handle.net/2027.42/124852.

MLA Handbook (7th Edition):

Kreucher, Christopher M. “An information-based approach to sensor resource allocation.” 2005. Web. 16 Apr 2021.

Vancouver:

Kreucher CM. An information-based approach to sensor resource allocation. [Internet] [Doctoral dissertation]. University of Michigan; 2005. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2027.42/124852.

Council of Science Editors:

Kreucher CM. An information-based approach to sensor resource allocation. [Doctoral Dissertation]. University of Michigan; 2005. Available from: http://hdl.handle.net/2027.42/124852


McMaster University

11. Dunne, Darcy. Random Finite Set Methods for Multitarget Tracking.

Degree: DEng, 2013, McMaster University

Multiple target tracking (MTT) is a major area that occurs in a variety of real world systems. The problem involves the detection and estimation… (more)

Subjects/Keywords: Multiple target tracking; Random Finite Sets; Probability Hypothesis Density; Multitarget Multi-Bernoulli; Intensity filter; Multi-Vehicle Systems and Air Traffic Control; Multi-Vehicle Systems and Air Traffic Control

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Dunne, D. (2013). Random Finite Set Methods for Multitarget Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/12941

Chicago Manual of Style (16th Edition):

Dunne, Darcy. “Random Finite Set Methods for Multitarget Tracking.” 2013. Doctoral Dissertation, McMaster University. Accessed April 16, 2021. http://hdl.handle.net/11375/12941.

MLA Handbook (7th Edition):

Dunne, Darcy. “Random Finite Set Methods for Multitarget Tracking.” 2013. Web. 16 Apr 2021.

Vancouver:

Dunne D. Random Finite Set Methods for Multitarget Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2013. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/11375/12941.

Council of Science Editors:

Dunne D. Random Finite Set Methods for Multitarget Tracking. [Doctoral Dissertation]. McMaster University; 2013. Available from: http://hdl.handle.net/11375/12941

12. Hyllengren, Jonas. Clustering for Multi-Target Tracking.

Degree: Automatic Control, 2017, Linköping University

  This thesis presents a clustering-based approach to decrease the computational cost of data association in multi-target tracking. This is achieved by clustering the sensor… (more)

Subjects/Keywords: Multitarget Tracking MTT Clustering Association; Control Engineering; Reglerteknik

tracking Non-deterministic, polynomial time (complexity class) Global nearest neighbor… …Joint-probabilistic data association Multi-hypothesis tracking Density-based spatial… …multiple targets. There is a problem of association in this multi-sensor multi-target tracking… …complexity of the data association required in multi-target tracking by clustering the data in… …target tracking feasible in applications where today’s algorithms are too slow. Clustering has… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hyllengren, J. (2017). Clustering for Multi-Target Tracking. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143807

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):

Hyllengren, Jonas. “Clustering for Multi-Target Tracking.” 2017. Thesis, Linköping University. Accessed April 16, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143807.

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

MLA Handbook (7th Edition):

Hyllengren, Jonas. “Clustering for Multi-Target Tracking.” 2017. Web. 16 Apr 2021.

Vancouver:

Hyllengren J. Clustering for Multi-Target Tracking. [Internet] [Thesis]. Linköping University; 2017. [cited 2021 Apr 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143807.

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

Council of Science Editors:

Hyllengren J. Clustering for Multi-Target Tracking. [Thesis]. Linköping University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143807

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


McMaster University

13. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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


Missouri University of Science and Technology

14. McCabe, James Samuel. Multitarget tracking and terrain-aided navigation using square-root consider filters.

Degree: PhD, Aerospace Engineering, Missouri University of Science and Technology

  "Filtering is a term used to describe methods that estimate the values of partially observed states, such as the position, velocity, and attitude of… (more)

Subjects/Keywords: Consider filtering; Estimation; Multitarget tracking; Navigation; Square-root filtering; Terrain relative navigation; Aerospace Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

McCabe, J. S. (n.d.). Multitarget tracking and terrain-aided navigation using square-root consider filters. (Doctoral Dissertation). Missouri University of Science and Technology. Retrieved from https://scholarsmine.mst.edu/doctoral_dissertations/2726

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

Chicago Manual of Style (16th Edition):

McCabe, James Samuel. “Multitarget tracking and terrain-aided navigation using square-root consider filters.” Doctoral Dissertation, Missouri University of Science and Technology. Accessed April 16, 2021. https://scholarsmine.mst.edu/doctoral_dissertations/2726.

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

MLA Handbook (7th Edition):

McCabe, James Samuel. “Multitarget tracking and terrain-aided navigation using square-root consider filters.” Web. 16 Apr 2021.

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

Vancouver:

McCabe JS. Multitarget tracking and terrain-aided navigation using square-root consider filters. [Internet] [Doctoral dissertation]. Missouri University of Science and Technology; [cited 2021 Apr 16]. Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2726.

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

Council of Science Editors:

McCabe JS. Multitarget tracking and terrain-aided navigation using square-root consider filters. [Doctoral Dissertation]. Missouri University of Science and Technology; Available from: https://scholarsmine.mst.edu/doctoral_dissertations/2726

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

.