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