Robust multi‐lane detection method based on semantic discrimination-Reference-Cited by-同舟云学术

Robust multi‐lane detection method based on semantic discrimination

Published:2020-07-30 Issue:9 Volume:14 Page:1142-1152
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Zhong Yuzhong¹²,Zhang Jianwei¹³,Li Yingjiang³,Geng Tianyu³,Wang Maoning²

Affiliation:

1. National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan UniversityNo.24, South Section of Yihuan Road, Wuhou DistrictChengduPeople's Republic of China

2. College of Electrical Engineering and Information Technology, Sichuan UniversityNo.24, South Section of Yihuan Road, Wuhou DistrictChengduPeople's Republic of China

3. College of Computer Science, Sichuan UniversityNo.24, South Section of Yihuan Road, Wuhou DistrictChengduPeople's Republic 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.2019.0391

Reference30 articles.

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2. Gradient‐enhancing conversion for illumination‐robust lane detection;Yoo H.;IEEE Trans. Intell. Transp. Syst.,2013

3. Robust lane detection and tracking using multiple visual cues under stochastic lane shape conditions;Huang Z.;J. Electron. Imaging,2018

4. A robust lane detection and tracking method based on computer vision

5. Stochastic lane shape estimation using local image descriptors;Liu G.;IEEE Trans. Intell. Transp. Syst.,2013

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