Fast road detection based on a dual-stage structure

Xun Pan, Wa Si, Harutoshi Ogai

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

2 Citations (Scopus)

Abstract

Road detection is an important research subject in autonomous driving. Both accuracy and efficiency are very important for road detection used in autonomous driving systems. However, these two properties are usually contradictory under certain calculation resources. In this paper, we make a good compromise between accuracy and efficiency by proposing a dual-stage detecting strategy, which consists of a fast Hough transform based road detection method and a reliable vanishing point based method. A dynamic region of interest (ROI) is proposed as a connector of the two stages. Experiments prove that our method can achieve good performance on both accuracy and efficiency.

Original languageEnglish
Title of host publicationProceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017
PublisherAssociation for Computing Machinery
Pages155-162
Number of pages8
VolumePart F127852
ISBN (Electronic)9781450348096
DOIs
Publication statusPublished - 2017 Feb 18
Event9th International Conference on Computer and Automation Engineering, ICCAE 2017 - Sydney, Australia
Duration: 2017 Feb 182017 Feb 21

Other

Other9th International Conference on Computer and Automation Engineering, ICCAE 2017
CountryAustralia
CitySydney
Period17/2/1817/2/21

Keywords

  • Hough transform
  • Region of interest
  • Road detection

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Pan, X., Si, W., & Ogai, H. (2017). Fast road detection based on a dual-stage structure. In Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017 (Vol. Part F127852, pp. 155-162). Association for Computing Machinery. https://doi.org/10.1145/3057039.3057101