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

Xun Pan, Harutoshi Ogai, Nan Wu

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語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
出版者Institute of Electrical and Electronics Engineers Inc.
ページ1429-1434
ページ数6
ISBN(印刷物)9784907764487
DOI
出版物ステータス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
China
Hangzhou
期間15/7/2815/7/30

    フィンガープリント

ASJC Scopus subject areas

  • Control and Systems Engineering

これを引用

Pan, X., Ogai, H., & Wu, N. (2015). Multi-frames based real-time road detection method for autonomous vehicle. : 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