RETA: 4D Radar-Based End-to-End Joint Tracking and Activity Estimation for Low-Observable Pedestrian Safety in Cluttered Traffic Scenarios

Author:

Zhang Zhenyuan1ORCID,Lai Huizhen1,Huang Darong2ORCID,Fang Xin3ORCID,Zhou Mu4ORCID,Zhang Ying5ORCID

Affiliation:

1. School of Information Science and Engineering, Chongqing Jiaotong University, Chongging, China

2. Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology, Engineering Research Center of Autonomous Unmanned System Technology of Ministry of Education, Anhui University, Hefei, China

3. School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu, China

4. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications (CQUPT), Chongqing, China

5. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Science and Technology Research Program of Chongqing Municipal Education Commission

Sichuan Science and Technology Support Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

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