A Review of Vision-Based Traffic Semantic Understanding in ITSs-Reference-Cited by-同舟云学术

A Review of Vision-Based Traffic Semantic Understanding in ITSs

Author:

Chen Jing¹^ORCID,Wang Qichao¹^ORCID,Cheng Harry H.²,Peng Weiming¹,Xu Wenqiang³^ORCID

Affiliation:

1. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China

2. Mechanical and Aerospace Engineering Department, University of California at Davis, Davis, CA, USA

3. College of Economics and Management, China Jiliang University, Hangzhou, China

Funder

Zhejiang Provincial Natural Science Foundation of China

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference282 articles.

1. Streets: A novel camera network dataset for traffic flow;snyder;Proc Adv Neural Inf Process Syst,2019

4. Application of parameter estimation and calibration method for car-following models;rahman,2013

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