Road Boundary Detection in Complex Urban Environment based on Low-Resolution Vision
Qinghua Wen1, Zehong Yang, Yixu Song, Peifa Jia
1Tsinghua University, Beijing, China
Available Online December 2008.
- 10.2991/jcis.2008.36How to use a DOI?
- driving assistance system, road boundary detection, lane detection, region-growing, Bezier spline
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.
- © 2008, 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 - 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 - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008) PB - Atlantis Press SP - 208 EP - 214 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.36 DO - 10.2991/jcis.2008.36 ID - Wen2008/12 ER -