iDT: An Integration of Detection and Tracking Toward Low-Observable Multipedestrian for Urban Autonomous Driving-Reference-Cited by-同舟云学术

iDT: An Integration of Detection and Tracking Toward Low-Observable Multipedestrian for Urban Autonomous Driving

Author:

Zhang Zhenyuan¹^ORCID,Wang Xiaojie¹^ORCID,Huang Darong²^ORCID,Fang Xin³^ORCID,Zhou Mu⁴^ORCID,Mi Bo⁵^ORCID

Affiliation:

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

2. School of Artificial Intelligence, Anhui University, Hefei, China

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

4. Chongqing University of Posts and Telecommunications, Chongqing, China

5. Chongqing Jiaotong University, Chongqing, China

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

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference35 articles.

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