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

Xun Pan, Harutoshi Ogai, Nan Wu

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1429-1434
ページ数6
ISBN(印刷版)9784907764487
DOI
出版ステータスPublished - 2015 9 30
イベント54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015 - Hangzhou, China
継続期間: 2015 7 282015 7 30

Other

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

ASJC Scopus subject areas

  • Control and Systems Engineering

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