Vision‐based vehicle behaviour analysis: a structured learning approach via convolutional neural networks-Reference-Cited by-同舟云学术

Vision‐based vehicle behaviour analysis: a structured learning approach via convolutional neural networks

Published:2020-05-06 Issue:7 Volume:14 Page:792-801
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Mou Luntian¹,Xie Haitao²,Mao Shasha³^ORCID,Zhao Pengfei¹,Chen Yanyan²

Affiliation:

1. Beijing Key Laboratory of Multimedia and Intelligent Software TechnologyFaculty of Information TechnologyBeijing University of TechnologyNo. 100, Pingleyuan, Chaoyang DistinctBeijingPeople's Republic of China

2. Beijing Key Laboratory of Traffic EngineeringBeijing University of TechnologyNo. 100, Pingleyuan, Chaoyang DistinctBeijingPeople's Republic of China

3. The School of Artificial Intelligence, Xidian UniversityNo. 2, Taibainan RoadXi'anPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2019.0419

Reference27 articles.

1. Early ramp warning using vehicle behaviour analysis;Cui H.;Soft Comput.,2017

2. Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis