Curved lane detection using robust feature extraction

Ho Jin Jang, Seung Hae Baek, Soon Yong Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, we propose a robust curved lane marking detection method by first detecting a straight lane and applying a geometric model of that detected straight lane. In our proposed method, we first detect the straight line and generate 13 candidates of the curved lane by applying a geometric model. We then vote those candidates on the feature image and consider the candidate which acquires the highest number of votes as the final curved lane. The performance and the efficiency of the proposed algorithm are confirmed by the experimental results.

Original languageEnglish
Title of host publication2014 2nd International Conference on Systems and Informatics, ICSAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-112
Number of pages4
ISBN (Electronic)9781479954582
DOIs
StatePublished - 13 Jan 2015
Event2014 2nd International Conference on Systems and Informatics, ICSAI 2014 - Shanghai, China
Duration: 15 Nov 201417 Nov 2014

Publication series

Name2014 2nd International Conference on Systems and Informatics, ICSAI 2014

Conference

Conference2014 2nd International Conference on Systems and Informatics, ICSAI 2014
Country/TerritoryChina
CityShanghai
Period15/11/1417/11/14

Keywords

  • curved lane detection
  • lane detection
  • robust lane feature extraction
  • vision

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