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
Volume	Part F127852
ISBN (Electronic)	9781450348096
DOIs	https://doi.org/10.1145/3057039.3057101
Publication status	Published - 2017 Feb 18
Event	9th International Conference on Computer and Automation Engineering, ICCAE 2017 - Sydney, Australia Duration: 2017 Feb 18 → 2017 Feb 21

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

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

Access to Document

10.1145/3057039.3057101

Cite this

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. 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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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.",

keywords = "Hough transform, Region of interest, Road detection",

author = "Xun Pan and Wa Si and Harutoshi Ogai",

year = "2017",

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doi = "10.1145/3057039.3057101",

language = "English",

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booktitle = "Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017",

publisher = "Association for Computing Machinery",

note = "9th International Conference on Computer and Automation Engineering, ICCAE 2017 ; Conference date: 18-02-2017 Through 21-02-2017",

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AU - Pan, Xun

AU - Si, Wa

AU - Ogai, Harutoshi

PY - 2017/2/18

Y1 - 2017/2/18

N2 - 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.

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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KW - Region of interest

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DO - 10.1145/3057039.3057101

M3 - Conference contribution

AN - SCOPUS:85020924341

VL - Part F127852

SP - 155

EP - 162

BT - Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017

PB - Association for Computing Machinery

T2 - 9th International Conference on Computer and Automation Engineering, ICCAE 2017

Y2 - 18 February 2017 through 21 February 2017

ER -

Fast road detection based on a dual-stage structure

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Keywords

ASJC Scopus subject areas

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