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

DOI

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.

Copyright

© 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/).

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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  -