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

Xun Pan; Harutoshi Ogai; Nan Wu

doi:10.1109/SICE.2015.7285492

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	https://doi.org/10.1109/SICE.2015.7285492
出版ステータス	Published - 2015 9月 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月 28 → 2015 7月 30

Other

Other	54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015
国/地域	China
City	Hangzhou
Period	15/7/28 → 15/7/30

ASJC Scopus subject areas

制御およびシステム工学

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10.1109/SICE.2015.7285492

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引用スタイル

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., 7285492, Institute of Electrical and Electronics Engineers Inc., pp. 1429-1434, 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015, Hangzhou, China, 15/7/28. https://doi.org/10.1109/SICE.2015.7285492

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title = "Multi-frames based real-time road detection method for autonomous vehicle",

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.",

keywords = "Hough transformation, multi-frames, PSO, Road detection, vanishing point",

author = "Xun Pan and Harutoshi Ogai and Nan Wu",

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language = "English",

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N2 - 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.

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KW - vanishing point

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BT - 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015

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

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