Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)

Research on Lane Detection Technology Based on OPENCV

Authors
Yang Xu, Ling Zhang
Corresponding Author
Yang Xu
Available Online August 2015.
DOI
10.2991/icmeis-15.2015.187How to use a DOI?
Keywords
OpenCV; Image processing; LMedSquare; Lane detection.
Abstract

In view of the huge computing, poor anti-interference ability of traditional detection alogrithm, it does not meet the requirement of the vehicle system, for which this paper proposed a lane detection method based on OpenCV. Preprocessing image in the OpenCV environment, adopting LMedSquare(Least Median Square) idea to select the best subset combined with least squares method to picewise fitting the lane so that it realized automatic identification of lane. This algorithm is suitable for both straight and curve. Simulation shows that this algorithm has well real-time performance, accuracy and robustness. It can meet the requirements of the vehicle system.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
10.2991/icmeis-15.2015.187
ISSN
2352-5401
DOI
10.2991/icmeis-15.2015.187How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yang Xu
AU  - Ling Zhang
PY  - 2015/08
DA  - 2015/08
TI  - Research on Lane Detection Technology Based on OPENCV
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 994
EP  - 997
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.187
DO  - 10.2991/icmeis-15.2015.187
ID  - Xu2015/08
ER  -