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

研究成果: Conference contribution

1 引用 (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.

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

Fingerprint

Gabor filters
Particle swarm optimization (PSO)
Textures

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

Multi-frames based real-time road detection method for autonomous vehicle. / Pan, Xun; Ogai, Harutoshi; Wu, Nan.

2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1429-1434 7285492.

研究成果: Conference contribution

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., 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
Pan X, Ogai H, Wu N. 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. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1429-1434. 7285492 https://doi.org/10.1109/SICE.2015.7285492
Pan, Xun ; Ogai, Harutoshi ; Wu, Nan. / 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. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1429-1434
@inproceedings{aa078202c82344faa1557d323452eca1,
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",
year = "2015",
month = "9",
day = "30",
doi = "10.1109/SICE.2015.7285492",
language = "English",
isbn = "9784907764487",
pages = "1429--1434",
booktitle = "2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Multi-frames based real-time road detection method for autonomous vehicle

AU - Pan, Xun

AU - Ogai, Harutoshi

AU - Wu, Nan

PY - 2015/9/30

Y1 - 2015/9/30

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.

AB - 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.

KW - Hough transformation

KW - multi-frames

KW - PSO

KW - Road detection

KW - vanishing point

UR - http://www.scopus.com/inward/record.url?scp=84960157206&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84960157206&partnerID=8YFLogxK

U2 - 10.1109/SICE.2015.7285492

DO - 10.1109/SICE.2015.7285492

M3 - Conference contribution

AN - SCOPUS:84960157206

SN - 9784907764487

SP - 1429

EP - 1434

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

PB - Institute of Electrical and Electronics Engineers Inc.

ER -