Monocular vision-based lane detection using segmented regions from edge information

Ji Hun Bae, Jae-Bok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationURAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence
Pages499-502
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011 - Incheon, Korea, Republic of
Duration: 2011 Nov 232011 Nov 26

Other

Other2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011
CountryKorea, Republic of
CityIncheon
Period11/11/2311/11/26

    Fingerprint

Keywords

  • Canny edge
  • IPM
  • lane detection
  • Mobile robot
  • outdoor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Bae, J. H., & Song, J-B. (2011). Monocular vision-based lane detection using segmented regions from edge information. In URAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (pp. 499-502). [6145871] https://doi.org/10.1109/URAI.2011.6145871