Multi-frames based real-time road detection method for autonomous vehicle

Xun Pan, Harutoshi Ogai, Nan Wu

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

1 Citation (Scopus)

Abstract

Usually we evaluate a certain road detection method from two aspects, the detecting performance and the executing time. Normally there is a compromise between these two criteria. This paper is focused on how to provide a reliable and real-time road detection result for an autonomous vehicle. By using a vanishing point based high reliability detection method for the leading frame and Hough transformation based real-time method for the following frames, we solve the contradiction of the detecting performance and the executing time. In the vanishing point detection, we use Gabor filters to get the texture information of the road and use particle swarm optimization to increase the efficiency.

Original languageEnglish
Title of host publication2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1429-1434
Number of pages6
ISBN (Print)9784907764487
DOIs
Publication statusPublished - 2015 Sep 30
Event54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China
Duration: 2015 Jul 282015 Jul 30

Other

Other54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
CountryChina
CityHangzhou
Period15/7/2815/7/30

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Keywords

  • Hough transformation
  • multi-frames
  • PSO
  • Road detection
  • vanishing point

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Pan, X., Ogai, H., & Wu, N. (2015). Multi-frames based real-time road detection method for autonomous vehicle. In 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 (pp. 1429-1434). [7285492] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SICE.2015.7285492