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题名	A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
作者	Liu，Jianbang 1; Mao，Xinyu 1; Fang，Yuqi 2; Zhu，Delong 1; Meng，Max Q.H.3,4,5
DOI	10.1109/ROBIO54168.2021.9739407
发表日期	2021
ISBN	978-1-6654-0536-2
会议录名称	2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
页码	978-985
会议日期	27-31 Dec. 2021
会议地点	Sanya, China
摘要	With the rapid development of machine learning, autonomous driving has become a hot issue, making urgent demands for more intelligent perception and planning systems. Self-driving cars can avoid traffic crashes with precisely predicted future trajectories of surrounding vehicles. In this work, we review and categorize existing learning-based trajectory forecasting methods from perspectives of representation, modeling, and learning. Moreover, we make our implementation of Target-driveN Trajectory Prediction publicly available at https://github.com/Henryliu/TNT-Trajectory-Predition, demonstrating its outstanding performance whereas its original codes are withheld. Enlightenment is expected for researchers seeking to improve trajectory prediction performance based on the achievement we have made.
关键词	Measurement Machine learning Predictive models Linear programming Mathematical models Trajectory Planning
学校署名	其他
语种	英语
相关链接	[Scopus记录]
收录类别	EI
EI入藏号	20221611977566
EI主题词	Accidents ; Autonomous vehicles ; Deep learning ; Forecasting
EI分类号	Highway Transportation:432 ; Ergonomics and Human Factors Engineering:461.4 ; Robot Applications:731.6 ; Accidents and Accident Prevention:914.1
Scopus记录号	2-s2.0-85128208425
来源库	Scopus
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9739407
引用统计	被引频次[WOS]：25
成果类型	会议论文
条目标识符	http://kc.sustech.edu.cn/handle/2SGJ60CL/331182
专题	工学院_电子与电气工程系
作者单位	1.Chinese University of Hong Kong,Department of Electronic Engineering,Hong Kong,Hong Kong 2.Chinese University of Hong Kong,Department of Biomedical Engineering,Hong Kong,Hong Kong 3.Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China 4.Department of Electronic and Electrical Engineering,Chinese University of Hong Kong,Hong Kong,Hong Kong 5.Shenzhen Research Institute,Chinese University of Hong Kong,Shenzhen,China
推荐引用方式 GB/T 7714	Liu，Jianbang,Mao，Xinyu,Fang，Yuqi,et al. A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving[C],2021:978-985.