DocumentCode :
3242041
Title :
Monocular vision-based lane detection using segmented regions from edge information
Author :
Bae, Ji-Hun ; Song, Jae-Bok
Author_Institution :
Dept. of Mechatron., Korea Univ., Seoul, South Korea
fYear :
2011
fDate :
23-26 Nov. 2011
Firstpage :
499
Lastpage :
502
Abstract :
For autonomous navigation of a mobile robot in outdoor environments, the information on the lane markers on the road is useful for localization, path planning, and other navigation techniques of a mobile robot. To detect the lane markers, this paper proposes the segmentation based on the Canny edge and the inverse perspective mapping (IPM). The experimental results show that the proposed scheme successfully works in real outdoor environments.
Keywords :
image segmentation; mobile robots; object detection; path planning; robot vision; Canny edge; autonomous navigation; edge information; inverse perspective mapping; lane markers; localization; mobile robot; monocular vision-based lane detection; outdoor environments; path planning; segmented regions; Feature extraction; Histograms; Image edge detection; Image segmentation; Mobile robots; Navigation; Roads; Canny edge; IPM; Mobile robot; lane detection; outdoor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location :
Incheon
Print_ISBN :
978-1-4577-0722-3
Type :
conf
DOI :
10.1109/URAI.2011.6145871
Filename :
6145871
Link To Document :
بازگشت