TY - GEN
T1 - Road obstacle detection using disparity map and edge information
AU - Lee, Chung Hee
AU - Lim, Young Chul
AU - Kim, Jonghwan
PY - 2012
Y1 - 2012
N2 - In this paper, we propose a road obstacle detection method using a disparity map and edge information. Though we use a dense disparity map to improée obstacle detection performance, it is not easy to detect road obstacles accurately because of inaccurate disparity map. Furthermore, it is more difficult to detect long distance obstacles. Thus, we use another good segmentation cue, namely edge information. And we also propose a height limited column detection method to detect only certain road obstacles. Our method consists of three stages, namely feature extraction, obstacle detection using the height limited column detection and obstacle segmentation using a disparity map and edge information. To éerify our method, we conduct experiments using real traffic images captured by our stereo éision system installed in a real éehicle.
AB - In this paper, we propose a road obstacle detection method using a disparity map and edge information. Though we use a dense disparity map to improée obstacle detection performance, it is not easy to detect road obstacles accurately because of inaccurate disparity map. Furthermore, it is more difficult to detect long distance obstacles. Thus, we use another good segmentation cue, namely edge information. And we also propose a height limited column detection method to detect only certain road obstacles. Our method consists of three stages, namely feature extraction, obstacle detection using the height limited column detection and obstacle segmentation using a disparity map and edge information. To éerify our method, we conduct experiments using real traffic images captured by our stereo éision system installed in a real éehicle.
KW - Disparity map
KW - Edge information
KW - Height limited column detection
KW - Obstacle detection
KW - Obstacle segmentation
KW - Stereo éision
UR - http://www.scopus.com/inward/record.url?scp=84887278101&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84887278101
SN - 9789728939748
T3 - Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012
SP - 191
EP - 194
BT - Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012
T2 - IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS Multi Conference on Computer Science and Information Systems 2012, MCCSIS 2012
Y2 - 21 July 2012 through 23 July 2012
ER -