Integration of scanning and image processing algorithms for lane detection based on fuzzy method-Reference-Cited by-同舟云学术

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Integration of scanning and image processing algorithms for lane detection based on fuzzy method

Published:2015-11-21 Issue:6 Volume:29 Page:2779-2786
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zhang Jindong¹²,Jia Xiaoyan³,Li Jinfeng¹

Affiliation:

1. College of Computer Science and Technology, Jilin University, Changchun, China

2. Key Laboratory of SymbolComputation and Knowledge Engineering of the Ministry of Education, Changchun, China

3. Departmentof Hand Surgery, The First Hospital of Jilin University, Changchun, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference19 articles.

1. Robust lane markings detection and road geometry computation;López;International Journal of Automotive Technology,2010

2. Applying a functional neurofuzzy network to real-time lane detection and front-vehicle distance measurement;Wu;IEEE Transactions on Systems, Man, and Cybernetics–Part C: Applications and Reviews,2012

3. Lane detection algorithm for night-time digital image based on distribution feature of boundaty pixels;You;Journal of the Optical Society of Korea,2013

4. Stochastic lane shape estimation using local image descriptors;Liu;IEEE Transactions on Intelligent Transportation Systems,2013

5. Vision-based fusion of robust lane tracking and forward vehicle detection in a real driving environment;Choi;International Journal of Automotive Technology,2012

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