11th Joint International Conference on Information Sciences

Road Boundary Detection in Complex Urban Environment based on Low-Resolution Vision

Authors
Qinghua Wen 0, Zehong Yang, Yixu Song, Peifa Jia
Corresponding Author
Qinghua Wen
0Tsinghua University, Beijing, China
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.36How to use a DOI?
Keywords
driving assistance system, road boundary detection, lane detection, region-growing, Bezier spline
Abstract
In this paper, we proposed a real-time road boundary detection method in com-plex urban road environment. The detec-tion difficulty lies in road wear, both exis-tence of marked and unmarked boundary and low-resolution vision. The idea of the algorithm is to extract the road surface firstly using improved region growing method based on edge enhancement. The road boundary is then estimated by fitting the edges of the extracted road surface. A Bezier splines algorithm with optimization of control points is proposed to estimate the road boundary. The algorithm is implemented on the video collected in BEIJING urban streets and achieves good performance.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.36How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qinghua Wen
AU  - Zehong Yang
AU  - Yixu Song
AU  - Peifa Jia
PY  - 2008/12
DA  - 2008/12
TI  - Road Boundary Detection in Complex Urban Environment based on Low-Resolution Vision
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.36
DO  - https://doi.org/10.2991/jcis.2008.36
ID  - Wen2008/12
ER  -