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This work was supported in part by National Natural Science Foundation of China(Grant Nos.U1804161,U2013601,U20A20225);Key Research and Development Plan of Anhui Province(Grant No.202004a05020058);Fundamental Research Funds for the Central Universities,Science and Technology Innovation Planning Project of Ministry of Education of China,NVIDIA NVAIL program,and Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment of Ministry of Education(Anhui Polytechnic University,Wuhu,China,241000)(Grant No.GDSC202007);And experiments are conducted on NVIDIA DGX-2.
Cyclist trajectory prediction is of great significance for both active collision avoidance and path planning of intelligent vehicles.This paper presents a trajectory prediction method for the motion intention of cycli...