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Authors: T. Kowsari ; S. S. Beauchemin and M. A. Bauer

Affiliation: The University of Western Ontario, Canada

Keyword(s): Lane Detection, Stereo Vision, Particle Filters, Lane Maps.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: With the emergence of intelligent Advanced Driving Assistance Systems (i-ADAS), the need for effective detection of vehicular surroundings is considered a necessity. The effectiveness of such systems directly depends on their performance in various environments such as rural and urban roads, and highways. Most of the current lane detection techniques are not suitable for urban roads with complex lane shapes and frequent occlusions. We propose a map-based lane detection approach which can robustly detect the lanes in urban and rural environments, and highways. We also present an algorithm for detecting obstacle-free areas in detected lanes based on the stereo depth maps of driving scenes. Experiments show that our approach reliably detects lanes and obstacle free areas within them, even in case of partially occluded or worn-off lane markers.

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Paper citation in several formats:
Kowsari, T.; S. Beauchemin, S. and A. Bauer, M. (2014). Map-based Lane and Obstacle-free Area Detection. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP; ISBN 978-989-758-009-3; ISSN 2184-4321, SciTePress, pages 523-530. DOI: 10.5220/0004675005230530

@conference{visapp14,
author={T. Kowsari. and S. {S. Beauchemin}. and M. {A. Bauer}.},
title={Map-based Lane and Obstacle-free Area Detection},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP},
year={2014},
pages={523-530},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004675005230530},
isbn={978-989-758-009-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP
TI - Map-based Lane and Obstacle-free Area Detection
SN - 978-989-758-009-3
IS - 2184-4321
AU - Kowsari, T.
AU - S. Beauchemin, S.
AU - A. Bauer, M.
PY - 2014
SP - 523
EP - 530
DO - 10.5220/0004675005230530
PB - SciTePress

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