Fast road detection based on a dual-stage structure

Xun Pan; Wa Si; Harutoshi Ogai

doi:10.1145/3057039.3057101

Fast road detection based on a dual-stage structure

Xun Pan, Wa Si, Harutoshi Ogai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Road detection is an important research subject in autonomous driving. Both accuracy and efficiency are very important for road detection used in autonomous driving systems. However, these two properties are usually contradictory under certain calculation resources. In this paper, we make a good compromise between accuracy and efficiency by proposing a dual-stage detecting strategy, which consists of a fast Hough transform based road detection method and a reliable vanishing point based method. A dynamic region of interest (ROI) is proposed as a connector of the two stages. Experiments prove that our method can achieve good performance on both accuracy and efficiency.

Original language	English
Title of host publication	Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017
Publisher	Association for Computing Machinery
Pages	155-162
Number of pages	8
ISBN (Electronic)	9781450348096
DOIs	https://doi.org/10.1145/3057039.3057101
Publication status	Published - 2017 Feb 18
Externally published	Yes
Event	9th International Conference on Computer and Automation Engineering, ICCAE 2017 - Sydney, Australia Duration: 2017 Feb 18 → 2017 Feb 21

Publication series

Name	ACM International Conference Proceeding Series
Volume	Part F127852

Other

Other	9th International Conference on Computer and Automation Engineering, ICCAE 2017
Country/Territory	Australia
City	Sydney
Period	17/2/18 → 17/2/21

Keywords

Hough transform
Region of interest
Road detection

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3057039.3057101

Cite this

Fast road detection based on a dual-stage structure. / Pan, Xun; Si, Wa; Ogai, Harutoshi.
Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017. Association for Computing Machinery, 2017. p. 155-162 (ACM International Conference Proceeding Series; Vol. Part F127852).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pan, X, Si, W & Ogai, H 2017, Fast road detection based on a dual-stage structure. in Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017. ACM International Conference Proceeding Series, vol. Part F127852, Association for Computing Machinery, pp. 155-162, 9th International Conference on Computer and Automation Engineering, ICCAE 2017, Sydney, Australia, 17/2/18. https://doi.org/10.1145/3057039.3057101

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AB - Road detection is an important research subject in autonomous driving. Both accuracy and efficiency are very important for road detection used in autonomous driving systems. However, these two properties are usually contradictory under certain calculation resources. In this paper, we make a good compromise between accuracy and efficiency by proposing a dual-stage detecting strategy, which consists of a fast Hough transform based road detection method and a reliable vanishing point based method. A dynamic region of interest (ROI) is proposed as a connector of the two stages. Experiments prove that our method can achieve good performance on both accuracy and efficiency.

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Fast road detection based on a dual-stage structure

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this