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 +publisher:"McMaster University" +contributor:("Kirubarajan, Thia"). Showing records 1 – 25 of 25 total matches.

Search Limiters

Last 2 Years | English Only

Degrees

Levels

▼ Search Limiters


McMaster University

1. HABTEMARIAM, BIRUK K. EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING.

Degree: PhD, 2014, McMaster University

In multitarget tracking scenarios with high false alarm rate and low target detection probability, data association plays a key role in resolving measurement origin uncertainty.… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

HABTEMARIAM, B. K. (2014). EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16272

Chicago Manual of Style (16th Edition):

HABTEMARIAM, BIRUK K. “EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING.” 2014. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/16272.

MLA Handbook (7th Edition):

HABTEMARIAM, BIRUK K. “EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING.” 2014. Web. 02 Mar 2021.

Vancouver:

HABTEMARIAM BK. EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING. [Internet] [Doctoral dissertation]. McMaster University; 2014. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/16272.

Council of Science Editors:

HABTEMARIAM BK. EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING. [Doctoral Dissertation]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/16272


McMaster University

2. Taghavi, Ehsan. Bias Estimation and Sensor Registration for Target Tracking.

Degree: PhD, 2016, McMaster University

The main idea of this thesis is to de ne and formulate the role of bias estimation in multitarget{multisensor scenarios as a general framework for… (more)

Subjects/Keywords: bias estimation; tracking; fusion

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Taghavi, E. (2016). Bias Estimation and Sensor Registration for Target Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20028

Chicago Manual of Style (16th Edition):

Taghavi, Ehsan. “Bias Estimation and Sensor Registration for Target Tracking.” 2016. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/20028.

MLA Handbook (7th Edition):

Taghavi, Ehsan. “Bias Estimation and Sensor Registration for Target Tracking.” 2016. Web. 02 Mar 2021.

Vancouver:

Taghavi E. Bias Estimation and Sensor Registration for Target Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/20028.

Council of Science Editors:

Taghavi E. Bias Estimation and Sensor Registration for Target Tracking. [Doctoral Dissertation]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20028


McMaster University

3. Baser, Erkan. Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator.

Degree: PhD, 2017, McMaster University

This dissertation concerns with the formulation of an improved multi-target multi-Bernoulli (MeMBer) filter and the use of the joint multi-target (JoM) estimator in an effective… (more)

Subjects/Keywords: Multi-target tracking; random finite set; multi-target multi-Bernoulli filter; joint multi-target estimator.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Baser, E. (2017). Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20947

Chicago Manual of Style (16th Edition):

Baser, Erkan. “Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator.” 2017. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/20947.

MLA Handbook (7th Edition):

Baser, Erkan. “Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator.” 2017. Web. 02 Mar 2021.

Vancouver:

Baser E. Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/20947.

Council of Science Editors:

Baser E. Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/20947


McMaster University

4. Wilson, Paul. Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods.

Degree: MASc, 2017, McMaster University

In order to aid prediction of future maritime vessel trajectories, it is useful to examine historical vessel information. It is mandatory for large maritime vessels… (more)

Subjects/Keywords: AIS

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wilson, P. (2017). Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/21237

Chicago Manual of Style (16th Edition):

Wilson, Paul. “Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods.” 2017. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/21237.

MLA Handbook (7th Edition):

Wilson, Paul. “Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods.” 2017. Web. 02 Mar 2021.

Vancouver:

Wilson P. Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/21237.

Council of Science Editors:

Wilson P. Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/21237


McMaster University

5. Yu, Yuanhao. Pattern Extraction by Modeling Image Spatial Relationship.

Degree: PhD, 2017, McMaster University

In this thesis, a universal framework that is able to extract image spatial relationship among multiple appearance components is proposed, which can be employed to… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yu, Y. (2017). Pattern Extraction by Modeling Image Spatial Relationship. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/21991

Chicago Manual of Style (16th Edition):

Yu, Yuanhao. “Pattern Extraction by Modeling Image Spatial Relationship.” 2017. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/21991.

MLA Handbook (7th Edition):

Yu, Yuanhao. “Pattern Extraction by Modeling Image Spatial Relationship.” 2017. Web. 02 Mar 2021.

Vancouver:

Yu Y. Pattern Extraction by Modeling Image Spatial Relationship. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/21991.

Council of Science Editors:

Yu Y. Pattern Extraction by Modeling Image Spatial Relationship. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/21991


McMaster University

6. Wu, Qingsong. Algorithms for Multiple Ground Target Tracking.

Degree: PhD, 2018, McMaster University

 In this thesis, multiple ground target tracking algorithms are studied. From different aspects of the ground target tracking, three different types of tracking algorithms are… (more)

Subjects/Keywords: ground target tracking; visual tracking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wu, Q. (2018). Algorithms for Multiple Ground Target Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/22741

Chicago Manual of Style (16th Edition):

Wu, Qingsong. “Algorithms for Multiple Ground Target Tracking.” 2018. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/22741.

MLA Handbook (7th Edition):

Wu, Qingsong. “Algorithms for Multiple Ground Target Tracking.” 2018. Web. 02 Mar 2021.

Vancouver:

Wu Q. Algorithms for Multiple Ground Target Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/22741.

Council of Science Editors:

Wu Q. Algorithms for Multiple Ground Target Tracking. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/22741


McMaster University

7. Kan, Pengfei. Bad Weather Effect Removal in Images and Videos.

Degree: MASc, 2018, McMaster University

Commonly experienced bad weather conditions like fog, snow and rain generate pixel intensity changes in images and videos taken in outdoor environment and impair the… (more)

Subjects/Keywords: Weather Removal; Image Processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kan, P. (2018). Bad Weather Effect Removal in Images and Videos. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/23314

Chicago Manual of Style (16th Edition):

Kan, Pengfei. “Bad Weather Effect Removal in Images and Videos.” 2018. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/23314.

MLA Handbook (7th Edition):

Kan, Pengfei. “Bad Weather Effect Removal in Images and Videos.” 2018. Web. 02 Mar 2021.

Vancouver:

Kan P. Bad Weather Effect Removal in Images and Videos. [Internet] [Masters thesis]. McMaster University; 2018. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/23314.

Council of Science Editors:

Kan P. Bad Weather Effect Removal in Images and Videos. [Masters Thesis]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23314


McMaster University

8. Wang, Yinghui. Path Planning and Sensor Management for Multisensor Airborne Surveillance.

Degree: PhD, 2018, McMaster University

As a result of recent technological advances in modernized sensor sets and sensor platforms, sensor management combined with sensor platform path planning are studied to… (more)

Subjects/Keywords: Radar tracking; Sensor management; Path planning; Optimization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, Y. (2018). Path Planning and Sensor Management for Multisensor Airborne Surveillance. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/23704

Chicago Manual of Style (16th Edition):

Wang, Yinghui. “Path Planning and Sensor Management for Multisensor Airborne Surveillance.” 2018. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/23704.

MLA Handbook (7th Edition):

Wang, Yinghui. “Path Planning and Sensor Management for Multisensor Airborne Surveillance.” 2018. Web. 02 Mar 2021.

Vancouver:

Wang Y. Path Planning and Sensor Management for Multisensor Airborne Surveillance. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/23704.

Council of Science Editors:

Wang Y. Path Planning and Sensor Management for Multisensor Airborne Surveillance. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23704


McMaster University

9. WU, FAN. Autonomous Vehicle Cost-Prediction-Based Decision-Making Framework For Unavoidable Collisions Using Ethical Foundations.

Degree: MASc, 2020, McMaster University

A novel paper using Canada's real traffic accident data to propose a cost-prediction-based decision-making framework incorporating different ethical foundations for AVs.

Autonomous Vehicles (AVs) hold… (more)

Subjects/Keywords: autonomous vehicle; crash injury severity prediction; machine learning classification model; ethical decision making

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

WU, F. (2020). Autonomous Vehicle Cost-Prediction-Based Decision-Making Framework For Unavoidable Collisions Using Ethical Foundations. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/25429

Chicago Manual of Style (16th Edition):

WU, FAN. “Autonomous Vehicle Cost-Prediction-Based Decision-Making Framework For Unavoidable Collisions Using Ethical Foundations.” 2020. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/25429.

MLA Handbook (7th Edition):

WU, FAN. “Autonomous Vehicle Cost-Prediction-Based Decision-Making Framework For Unavoidable Collisions Using Ethical Foundations.” 2020. Web. 02 Mar 2021.

Vancouver:

WU F. Autonomous Vehicle Cost-Prediction-Based Decision-Making Framework For Unavoidable Collisions Using Ethical Foundations. [Internet] [Masters thesis]. McMaster University; 2020. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/25429.

Council of Science Editors:

WU F. Autonomous Vehicle Cost-Prediction-Based Decision-Making Framework For Unavoidable Collisions Using Ethical Foundations. [Masters Thesis]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25429


McMaster University

10. Thirumalaisamy, Abirami. Fusion of Soft and Hard Data for Event Prediction and State Estimation.

Degree: MASc, 2015, McMaster University

Social networking sites such as Twitter, Facebook and Flickr play an important role in disseminating breaking news about natural disasters, terrorist attacks and other events.… (more)

Subjects/Keywords: Dempster-Shafer belief theory; Random finite set theory; Modified Dempster's rule of combination; soft and hard data fusion; airborne surveillance of surface targets; event prediction; social data analysis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Thirumalaisamy, A. (2015). Fusion of Soft and Hard Data for Event Prediction and State Estimation. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18382

Chicago Manual of Style (16th Edition):

Thirumalaisamy, Abirami. “Fusion of Soft and Hard Data for Event Prediction and State Estimation.” 2015. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/18382.

MLA Handbook (7th Edition):

Thirumalaisamy, Abirami. “Fusion of Soft and Hard Data for Event Prediction and State Estimation.” 2015. Web. 02 Mar 2021.

Vancouver:

Thirumalaisamy A. Fusion of Soft and Hard Data for Event Prediction and State Estimation. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/18382.

Council of Science Editors:

Thirumalaisamy A. Fusion of Soft and Hard Data for Event Prediction and State Estimation. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18382


McMaster University

11. Franklyn, Dsouza. Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking.

Degree: MASc, 2015, McMaster University

Big data is a term used to describe quantities of data that are too large to process using traditional means of data processing. The rise… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Franklyn, D. (2015). Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18403

Chicago Manual of Style (16th Edition):

Franklyn, Dsouza. “Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking.” 2015. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/18403.

MLA Handbook (7th Edition):

Franklyn, Dsouza. “Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking.” 2015. Web. 02 Mar 2021.

Vancouver:

Franklyn D. Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/18403.

Council of Science Editors:

Franklyn D. Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18403


McMaster University

12. Liu, Ben. Active Sonar Tracking Under Realistic Conditions.

Degree: PhD, 2019, McMaster University

This thesis focuses on the problem of underwater target tracking with consideration for realistic conditions using active sonar. This thesis addresses the following specific problems:… (more)

Subjects/Keywords: Active sonar tracking; Realistic conditions; Bayesian framework

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liu, B. (2019). Active Sonar Tracking Under Realistic Conditions. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/24758

Chicago Manual of Style (16th Edition):

Liu, Ben. “Active Sonar Tracking Under Realistic Conditions.” 2019. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/24758.

MLA Handbook (7th Edition):

Liu, Ben. “Active Sonar Tracking Under Realistic Conditions.” 2019. Web. 02 Mar 2021.

Vancouver:

Liu B. Active Sonar Tracking Under Realistic Conditions. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/24758.

Council of Science Editors:

Liu B. Active Sonar Tracking Under Realistic Conditions. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/24758


McMaster University

13. Fazlali, Hamidreza. Novel Methods for Weather Distortions Mitigation in Images and Videos.

Degree: PhD, 2020, McMaster University

 Images and videos captured under adverse weather condition usually suffer from bad visual quality. The reduced visual quality can diminish the the human operator comprehension… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fazlali, H. (2020). Novel Methods for Weather Distortions Mitigation in Images and Videos. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/25586

Chicago Manual of Style (16th Edition):

Fazlali, Hamidreza. “Novel Methods for Weather Distortions Mitigation in Images and Videos.” 2020. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/25586.

MLA Handbook (7th Edition):

Fazlali, Hamidreza. “Novel Methods for Weather Distortions Mitigation in Images and Videos.” 2020. Web. 02 Mar 2021.

Vancouver:

Fazlali H. Novel Methods for Weather Distortions Mitigation in Images and Videos. [Internet] [Doctoral dissertation]. McMaster University; 2020. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/25586.

Council of Science Editors:

Fazlali H. Novel Methods for Weather Distortions Mitigation in Images and Videos. [Doctoral Dissertation]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25586


McMaster University

14. Ge, Tongyu. Data Association Algorithms for Multisensor-Multitarget Tracking.

Degree: PhD, 2020, McMaster University

In this thesis, the data association problem in multisensor-multitarget tracking is explored. Algorithms that improve data association performance by eliminating sensor biases or utilizing available… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ge, T. (2020). Data Association Algorithms for Multisensor-Multitarget Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/25724

Chicago Manual of Style (16th Edition):

Ge, Tongyu. “Data Association Algorithms for Multisensor-Multitarget Tracking.” 2020. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/25724.

MLA Handbook (7th Edition):

Ge, Tongyu. “Data Association Algorithms for Multisensor-Multitarget Tracking.” 2020. Web. 02 Mar 2021.

Vancouver:

Ge T. Data Association Algorithms for Multisensor-Multitarget Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2020. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/25724.

Council of Science Editors:

Ge T. Data Association Algorithms for Multisensor-Multitarget Tracking. [Doctoral Dissertation]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25724


McMaster University

15. Gorji, Daronkolaei Aliakbar. LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS.

Degree: PhD, 2012, McMaster University

This thesis concerns with the localization, tracking, and sensor management in the Multiple-Input Multiple-Output (MIMO) radar systems. The collocated and widely-separated MIMO radars are… (more)

Subjects/Keywords: MIMO radars; target tracking; sensor management; Signal Processing; Systems and Communications; Signal Processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gorji, D. A. (2012). LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/12433

Chicago Manual of Style (16th Edition):

Gorji, Daronkolaei Aliakbar. “LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS.” 2012. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/12433.

MLA Handbook (7th Edition):

Gorji, Daronkolaei Aliakbar. “LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS.” 2012. Web. 02 Mar 2021.

Vancouver:

Gorji DA. LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS. [Internet] [Doctoral dissertation]. McMaster University; 2012. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/12433.

Council of Science Editors:

Gorji DA. LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS. [Doctoral Dissertation]. McMaster University; 2012. Available from: http://hdl.handle.net/11375/12433

16. Krishnan, Krishanth. Tracking Pedestrians with Known/Unknown Interactions and Influences.

Degree: PhD, 2017, McMaster University

This thesis addresses the problem of tracking multiple ground targets whose motion is dependent on one another. Multiple approaches which integrate the social force based… (more)

Subjects/Keywords: pedestrian tracking; multiple model social forces filter; social force Kalman filter; parameter estimation with tracking; dependent motion tracking; social force PhD filter

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Krishnan, K. (2017). Tracking Pedestrians with Known/Unknown Interactions and Influences. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/22126

Chicago Manual of Style (16th Edition):

Krishnan, Krishanth. “Tracking Pedestrians with Known/Unknown Interactions and Influences.” 2017. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/22126.

MLA Handbook (7th Edition):

Krishnan, Krishanth. “Tracking Pedestrians with Known/Unknown Interactions and Influences.” 2017. Web. 02 Mar 2021.

Vancouver:

Krishnan K. Tracking Pedestrians with Known/Unknown Interactions and Influences. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/22126.

Council of Science Editors:

Krishnan K. Tracking Pedestrians with Known/Unknown Interactions and Influences. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/22126

17. WEI, KEQI. MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA.

Degree: MASc, 2017, McMaster University

This thesis proposes a novel multiple traffic light recognition system based on videos captured by a monocular camera. Advanced driver assistance system (ADAS) and autonomous… (more)

Subjects/Keywords: multiple traffic light recognition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

WEI, K. (2017). MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/23081

Chicago Manual of Style (16th Edition):

WEI, KEQI. “MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA.” 2017. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/23081.

MLA Handbook (7th Edition):

WEI, KEQI. “MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA.” 2017. Web. 02 Mar 2021.

Vancouver:

WEI K. MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/23081.

Council of Science Editors:

WEI K. MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/23081

18. Rostami, Saeid. Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications.

Degree: MASc, 2018, McMaster University

Recently data generation has become an important research topic. Simulated data are not expensive and can be used immediately after being generated. Unlike simulated data,… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rostami, S. (2018). Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/24105

Chicago Manual of Style (16th Edition):

Rostami, Saeid. “Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications.” 2018. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/24105.

MLA Handbook (7th Edition):

Rostami, Saeid. “Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications.” 2018. Web. 02 Mar 2021.

Vancouver:

Rostami S. Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications. [Internet] [Masters thesis]. McMaster University; 2018. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/24105.

Council of Science Editors:

Rostami S. Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications. [Masters Thesis]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/24105

19. Iftikhar, Nimra. Automated Optimization of Multisensor - Multitarget Trackers.

Degree: MASc, 2015, McMaster University

Almost every module or project needs to be optimized to get the best results and reduce costs. Multi-sensor, multi-input trackers require a huge number of… (more)

Subjects/Keywords: OPTIMIZATION

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Iftikhar, N. (2015). Automated Optimization of Multisensor - Multitarget Trackers. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18364

Chicago Manual of Style (16th Edition):

Iftikhar, Nimra. “Automated Optimization of Multisensor - Multitarget Trackers.” 2015. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/18364.

MLA Handbook (7th Edition):

Iftikhar, Nimra. “Automated Optimization of Multisensor - Multitarget Trackers.” 2015. Web. 02 Mar 2021.

Vancouver:

Iftikhar N. Automated Optimization of Multisensor - Multitarget Trackers. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/18364.

Council of Science Editors:

Iftikhar N. Automated Optimization of Multisensor - Multitarget Trackers. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18364

20. Liu, Tsa Chun. Pattern-of-life extraction and anomaly detection using GMTI data.

Degree: MASc, 2019, McMaster University

Ground Moving Target Indicator (GMTI) uses the concept of airborne surveillance of moving ground objects to observe and take actions accordingly. This concept was established… (more)

Subjects/Keywords: Ground moving target indicator; Pattern-of-life; Clustering; Anomaly detection; Traffic; Classification; Simulation; Model

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liu, T. C. (2019). Pattern-of-life extraction and anomaly detection using GMTI data. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/25002

Chicago Manual of Style (16th Edition):

Liu, Tsa Chun. “Pattern-of-life extraction and anomaly detection using GMTI data.” 2019. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/25002.

MLA Handbook (7th Edition):

Liu, Tsa Chun. “Pattern-of-life extraction and anomaly detection using GMTI data.” 2019. Web. 02 Mar 2021.

Vancouver:

Liu TC. Pattern-of-life extraction and anomaly detection using GMTI data. [Internet] [Masters thesis]. McMaster University; 2019. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/25002.

Council of Science Editors:

Liu TC. Pattern-of-life extraction and anomaly detection using GMTI data. [Masters Thesis]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/25002

21. Li, Jingqun. EFFICIENT DATA ASSOCIATION ALGORITHMS FOR MULTI-TARGET TRACKING.

Degree: PhD, 2019, McMaster University

Efficient multi-dimensional assignment algorithms and their application in multi-frame tracking

In this work, we propose a novel convex dual approach to the multidimensional dimensional assignment… (more)

Subjects/Keywords: Binary programming; Optimization; Multi-target tracking; assignment problem

…coefficients matrix 3 for Ph.D. Thesis – J. Li H McMaster University – Multitarget tracking… …assigned 6 Ph.D. Thesis – J. Li McMaster University – Multitarget tracking to the targets… …McMaster University – Multitarget tracking Joint Probabilistic Data Association (JPDA)… …x28;1.3.3) Ph.D. Thesis – J. Li McMaster University – Multitarget tracking where c = P Z… …Ph.D. Thesis – J. Li McMaster University – Multitarget tracking the normal distribution… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Li, J. (2019). EFFICIENT DATA ASSOCIATION ALGORITHMS FOR MULTI-TARGET TRACKING. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/25001

Chicago Manual of Style (16th Edition):

Li, Jingqun. “EFFICIENT DATA ASSOCIATION ALGORITHMS FOR MULTI-TARGET TRACKING.” 2019. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/25001.

MLA Handbook (7th Edition):

Li, Jingqun. “EFFICIENT DATA ASSOCIATION ALGORITHMS FOR MULTI-TARGET TRACKING.” 2019. Web. 02 Mar 2021.

Vancouver:

Li J. EFFICIENT DATA ASSOCIATION ALGORITHMS FOR MULTI-TARGET TRACKING. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/25001.

Council of Science Editors:

Li J. EFFICIENT DATA ASSOCIATION ALGORITHMS FOR MULTI-TARGET TRACKING. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/25001

22. Alizadeh, Sara. A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application.

Degree: MASc, 2017, McMaster University

A monocular Visual Odometry system has been developed and tested on different datasets and the outputs have been compared with the available ground truth information… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Alizadeh, S. (2017). A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/23085

Chicago Manual of Style (16th Edition):

Alizadeh, Sara. “A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application.” 2017. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/23085.

MLA Handbook (7th Edition):

Alizadeh, Sara. “A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application.” 2017. Web. 02 Mar 2021.

Vancouver:

Alizadeh S. A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/23085.

Council of Science Editors:

Alizadeh S. A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/23085


McMaster University

23. Malek, Md. Obaidul. STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS.

Degree: MASc, 2009, McMaster University

In radar signal processing, the vulnerability of the desired signal to homogeneous and heterogeneous interferences increases as the communication traffic increases. The principal challenge… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Malek, M. O. (2009). STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/8925

Chicago Manual of Style (16th Edition):

Malek, Md Obaidul. “STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS.” 2009. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/8925.

MLA Handbook (7th Edition):

Malek, Md Obaidul. “STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS.” 2009. Web. 02 Mar 2021.

Vancouver:

Malek MO. STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS. [Internet] [Masters thesis]. McMaster University; 2009. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/8925.

Council of Science Editors:

Malek MO. STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS. [Masters Thesis]. McMaster University; 2009. Available from: http://hdl.handle.net/11375/8925


McMaster University

24. Xiaofan, He. Automatic Class Identification and Motion Classification for Improved Multitarget Tracking.

Degree: MASc, 2010, McMaster University

Target classification has received significant attention in tracking literature. Algorithms for joint tracking and classification that are capable of improving tracking performance by exploiting… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Xiaofan, H. (2010). Automatic Class Identification and Motion Classification for Improved Multitarget Tracking. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/9305

Chicago Manual of Style (16th Edition):

Xiaofan, He. “Automatic Class Identification and Motion Classification for Improved Multitarget Tracking.” 2010. Masters Thesis, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/9305.

MLA Handbook (7th Edition):

Xiaofan, He. “Automatic Class Identification and Motion Classification for Improved Multitarget Tracking.” 2010. Web. 02 Mar 2021.

Vancouver:

Xiaofan H. Automatic Class Identification and Motion Classification for Improved Multitarget Tracking. [Internet] [Masters thesis]. McMaster University; 2010. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/9305.

Council of Science Editors:

Xiaofan H. Automatic Class Identification and Motion Classification for Improved Multitarget Tracking. [Masters Thesis]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/9305


McMaster University

25. Ng, William. Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods.

Degree: PhD, 2003, McMaster University

  This thesis focuses on joint model order detection and estimation of the parameters of interest, with applications to narrowband and wideband array signal processing… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ng, W. (2003). Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/5921

Chicago Manual of Style (16th Edition):

Ng, William. “Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods.” 2003. Doctoral Dissertation, McMaster University. Accessed March 02, 2021. http://hdl.handle.net/11375/5921.

MLA Handbook (7th Edition):

Ng, William. “Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods.” 2003. Web. 02 Mar 2021.

Vancouver:

Ng W. Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods. [Internet] [Doctoral dissertation]. McMaster University; 2003. [cited 2021 Mar 02]. Available from: http://hdl.handle.net/11375/5921.

Council of Science Editors:

Ng W. Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods. [Doctoral Dissertation]. McMaster University; 2003. Available from: http://hdl.handle.net/11375/5921

.