The Research of Lane Marker Detection Algorithm Based on Inverse Perspective Mapping

DOI

10.2991/meita-15.2015.1How to use a DOI?

Keywords

IPM, level-line, lane marker abstracted region, class point, rectangular approximation

Abstract

This paper presents a robust and fast algorithm for lane marker detection. It is based on generating an inverse perspective mapping image of the road, computing line abstracted regions and the class points from IPM image, which is followed by a post processing step using rectangular approximation to detect lane marker. A reference database containing over 100 images of natural road scenes was built with corresponding manually labeled ground truth images (available at http://www.lcpc.fr/english/products/). This database enables to evaluate lane marker detection algorithm in a systematic way. The experiment proves that the algorithm proposed can detect the lane marker on the road in various conditions.

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/).

Download article (PDF)

TY  - CONF
AU  - Jinghong Xu
AU  - Changsheng Cheng
AU  - Yan Wan
PY  - 2015/08
DA  - 2015/08
TI  - The Research of Lane Marker Detection Algorithm Based on Inverse Perspective Mapping
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 1
EP  - 8
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.1
DO  - 10.2991/meita-15.2015.1
ID  - Xu2015/08
ER  -