A Vectorized Representation Model for Trajectory Prediction of Intelligent Vehicles in Challenging Scenarios-Reference-Cited by-同舟云学术

A Vectorized Representation Model for Trajectory Prediction of Intelligent Vehicles in Challenging Scenarios

Author:

Guo Lulu¹^ORCID,Shan Ce¹^ORCID,Shi Tengfei²^ORCID,Li Xuan³^ORCID,Wang Fei-Yue⁴^ORCID

Affiliation:

1. Department of Control Science and Engineering, Tongji University, Shanghai, China

2. School of Computer Science and Engineering, Beihang University, Beijing, China

3. Peng Cheng Laboratory, Shenzhen, China

4. State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Young Elite Scientists Sponsorship Program of China Association of Science and Technology

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

Reference31 articles.

2. MultiPath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction;chai;Proc Conf Robot Learn,0

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