Road Vehicle Tracking Using Moving Horizon Estimation

Algorithms for Intelligent Systems - Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences ◽

10.1007/978-981-16-5747-4_22 ◽

2022 ◽

pp. 253-266

Author(s):

Gejo Georgesan ◽

K. Surender

Keyword(s):

Vehicle Tracking ◽

Moving Horizon Estimation ◽

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Vehicle Tracking for Heavy Road Vehicle Collision Avoidance with an Inexpensive Solid State Laser Sensor

2019 IEEE Intelligent Transportation Systems Conference (ITSC) ◽

10.1109/itsc.2019.8917420 ◽

2019 ◽

Author(s):

Vimal Kumar ◽

Shankar C. Subramanian ◽

Rajesh Rajamani

Keyword(s):

Solid State ◽

Collision Avoidance ◽

Solid State Laser ◽

Vehicle Tracking ◽

Laser Sensor ◽

Road Vehicle ◽

State Laser ◽

Vehicle Collision

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On-road vehicle tracking using part-based particle filter

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros.2017.8206224 ◽

2017 ◽

Author(s):

Yongkun Fang ◽

Chao Wang ◽

Huijing Zhao ◽

Hongbin Zha

Keyword(s):

Particle Filter ◽

Vehicle Tracking ◽

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On-road vehicle tracking using keypoint-based representation and online co-training

Multimedia Tools and Applications ◽

10.1007/s11042-013-1453-5 ◽

2013 ◽

Vol 72 (2) ◽

pp. 1561-1583 ◽

Author(s):

Shuo Yang ◽

Jie Xu ◽

Yong Chen ◽

Minghui Wang

Keyword(s):

Vehicle Tracking ◽

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Optical Flow Based Urban Road Vehicle Tracking

2013 Ninth International Conference on Computational Intelligence and Security ◽

10.1109/cis.2013.89 ◽

2013 ◽

Author(s):

Ya Liu ◽

Yao Lu ◽

Qingxuan Shi ◽

Jianhua Ding

Keyword(s):

Optical Flow ◽

Vehicle Tracking ◽

Road Vehicle ◽

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Automatic differentiation facilitates OF-integration into steering-angle-based road vehicle tracking

Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) ◽

10.1109/cvpr.1999.784659 ◽

2003 ◽

Author(s):

H. Leuck ◽

H.-H. Nagel

Keyword(s):

Automatic Differentiation ◽

Vehicle Tracking ◽

Steering Angle ◽

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Camera and LiDAR Fusion for On-road Vehicle Tracking with Reinforcement Learning

2019 IEEE Intelligent Vehicles Symposium (IV) ◽

10.1109/ivs.2019.8814028 ◽

2019 ◽

Author(s):

Yongkun Fang ◽

Huijing Zhao ◽

Hongbin Zha ◽

Xijun Zhao ◽

Wen Yao

Keyword(s):

Reinforcement Learning ◽

Vehicle Tracking ◽

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On-road vehicle tracking using deformable object model and particle filter with integrated likelihoods

2010 IEEE Intelligent Vehicles Symposium ◽

10.1109/ivs.2010.5548067 ◽

2010 ◽

Author(s):

Akihiro Takeuchi ◽

Seiichi Mita ◽

David McAllester

Keyword(s):

Particle Filter ◽

Vehicle Tracking ◽

Object Model ◽

Road Vehicle ◽

Deformable Object

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State Estimation With Heading Constraints for On-Road Vehicle Tracking

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2021.3126121 ◽

2021 ◽

pp. 1-22

Author(s):

Zhuanhua Zhang ◽

Keyi Li ◽

Gongjian Zhou

Keyword(s):

State Estimation ◽

Vehicle Tracking ◽

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Using Particle Image Velocimetry for Road Vehicle Tracking and Performance Monitoring

10.4271/2011-01-0279 ◽

2011 ◽

Author(s):

Samuel Kucera ◽

Jeremy Daily

Keyword(s):

Particle Image Velocimetry ◽

Performance Monitoring ◽

Particle Image ◽

Vehicle Tracking ◽

Road Vehicle ◽

Image Velocimetry ◽

And Performance

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On-road Vehicle Tracking using Laser Scanner with Multiple Hypothesis Assumption

International Journal of Fuzzy Logic and Intelligent Systems ◽

10.5391/ijfis.2009.9.3.232 ◽

2009 ◽

Vol 9 (3) ◽

pp. 232-237 ◽

Author(s):

Kyung-Jin Ryu ◽

Seong-Keun Park ◽

Jae-Pil Hwang ◽

Eun-Tai Kim ◽

Mignon Park

Keyword(s):

Laser Scanner ◽

Vehicle Tracking ◽

Road Vehicle ◽

Multiple Hypothesis

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