by Jiang, R, Klette, R, Vaudrey, T and Wang, S
Abstract:
Improving or generalizing lane detection solutions on curved roads with possibly broken lane marks is still a challenging task. This paper proposes a concept of a (virtual) corridor for modeling the space an ego-vehicle is able to drive through, using available (but often incomplete, e.g., due to occlusion, road conditions, or road intersections) information about the lane marks but also about the motion and relative position (with respect to the road) of the ego-vehicle. A corridor is defined in this paper by special features, such as two fixed starting points, a constant width, and a unique relationship with visible lane marks. Robust corridor detection is possible by hypothesis testing based on maximum a posterior (MAP) estimation, followed by boundary selection, and road patch extension. Obstacles are explicitly considered. A corridor tracking method is also discussed. Experimental results are provided. © Springer-Verlag Berlin Heidelberg 2009.
Reference:
Ego-vehicle corridors for vision-based driver assistance (Jiang, R, Klette, R, Vaudrey, T and Wang, S), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 5852 LNCS, 2009.
Bibtex Entry:
@inproceedings{jiang2009ego-vehicleassistance,
author = "Jiang, R and Klette, R and Vaudrey, T and Wang, S",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "238--251",
title = "Ego-vehicle corridors for vision-based driver assistance",
volume = "5852 LNCS",
year = "2009",
abstract = "Improving or generalizing lane detection solutions on curved roads with possibly broken lane marks is still a challenging task. This paper proposes a concept of a (virtual) corridor for modeling the space an ego-vehicle is able to drive through, using available (but often incomplete, e.g., due to occlusion, road conditions, or road intersections) information about the lane marks but also about the motion and relative position (with respect to the road) of the ego-vehicle. A corridor is defined in this paper by special features, such as two fixed starting points, a constant width, and a unique relationship with visible lane marks. Robust corridor detection is possible by hypothesis testing based on maximum a posterior (MAP) estimation, followed by boundary selection, and road patch extension. Obstacles are explicitly considered. A corridor tracking method is also discussed. Experimental results are provided. © Springer-Verlag Berlin Heidelberg 2009.",
doi = "10.1007/978-3-642-10210-3_19",
isbn = "3642102085",
isbn = "9783642102080",
issn = "0302-9743",
eissn = "1611-3349",
keyword = "Corridor detection",
keyword = "Driver assistance",
keyword = "Lane detection",
language = "eng",
}