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Robust and efficient vanishing point detection in unstructured road scenes for assistive navigation.

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Title: Robust and efficient vanishing point detection in unstructured road scenes for assistive navigation.
Authors: Han, Jiaming1,2,3 hjm@nuaa.edu.cn, Yang, Zhong1,2,3 YZ.NUAA@163.com, Hu, Guoxiong1,2,3 76912412@qq.com, Fang, Ting1,2,3 420739229@qq.com, Xu, Hao1,2,3 37375061@qq.com
Source: Sensor Review. 2019, Vol. 39 Issue 1, p137-146. 10p.
Subjects: Computer vision, Image processing, Roads, Robot vision, Detectors
Abstract: Purpose This paper aims to propose a robust and efficient method for vanishing point detection in unstructured road scenes.Design/methodology/approach The proposed method includes two main stages: drivable region estimation and vanishing point detection. In drivable region estimation stage, the road image is segmented into a set of patches; then the drivable region is estimated by the patch-wise manifold ranking. In vanishing point detection stage, the LSD method is used to extract the straight lines; then a series of principles are proposed to remove the noise lines. Finally, the vanishing point is detected by a novel voting strategy.Findings The proposed method is validated on various unstructured road images collected from the real world. It is more robust and more efficient than the state-of-the-art method and the other three recent methods. Experimental results demonstrate that the detected vanishing point is practical for vision-sensor-based navigation in complex unstructured road scenes.Originality/value This paper proposes a patch-wise manifold ranking method to estimate the drivable region that contains most of the informative clues for vanishing point detection. Based on the removal of the noise lines through a series of principles, a novel voting strategy is proposed to detect the vanishing point. [ABSTRACT FROM AUTHOR]
Copyright of Sensor Review is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 134285480
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PubTypeId: academicJournal
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  Data: Robust and efficient vanishing point detection in unstructured road scenes for assistive navigation.
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  Data: <searchLink fieldCode="AR" term="%22Han%2C+Jiaming%22">Han, Jiaming</searchLink><relatesTo>1,2,3</relatesTo><i> hjm@nuaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Zhong%22">Yang, Zhong</searchLink><relatesTo>1,2,3</relatesTo><i> YZ.NUAA@163.com</i><br /><searchLink fieldCode="AR" term="%22Hu%2C+Guoxiong%22">Hu, Guoxiong</searchLink><relatesTo>1,2,3</relatesTo><i> 76912412@qq.com</i><br /><searchLink fieldCode="AR" term="%22Fang%2C+Ting%22">Fang, Ting</searchLink><relatesTo>1,2,3</relatesTo><i> 420739229@qq.com</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Hao%22">Xu, Hao</searchLink><relatesTo>1,2,3</relatesTo><i> 37375061@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Sensor+Review%22">Sensor Review</searchLink>. 2019, Vol. 39 Issue 1, p137-146. 10p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Roads%22">Roads</searchLink><br /><searchLink fieldCode="DE" term="%22Robot+vision%22">Robot vision</searchLink><br /><searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose This paper aims to propose a robust and efficient method for vanishing point detection in unstructured road scenes.Design/methodology/approach The proposed method includes two main stages: drivable region estimation and vanishing point detection. In drivable region estimation stage, the road image is segmented into a set of patches; then the drivable region is estimated by the patch-wise manifold ranking. In vanishing point detection stage, the LSD method is used to extract the straight lines; then a series of principles are proposed to remove the noise lines. Finally, the vanishing point is detected by a novel voting strategy.Findings The proposed method is validated on various unstructured road images collected from the real world. It is more robust and more efficient than the state-of-the-art method and the other three recent methods. Experimental results demonstrate that the detected vanishing point is practical for vision-sensor-based navigation in complex unstructured road scenes.Originality/value This paper proposes a patch-wise manifold ranking method to estimate the drivable region that contains most of the informative clues for vanishing point detection. Based on the removal of the noise lines through a series of principles, a novel voting strategy is proposed to detect the vanishing point. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Sensor Review is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=134285480
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1108/SR-02-2018-0024
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 137
    Subjects:
      – SubjectFull: Computer vision
        Type: general
      – SubjectFull: Image processing
        Type: general
      – SubjectFull: Roads
        Type: general
      – SubjectFull: Robot vision
        Type: general
      – SubjectFull: Detectors
        Type: general
    Titles:
      – TitleFull: Robust and efficient vanishing point detection in unstructured road scenes for assistive navigation.
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            NameFull: Han, Jiaming
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            NameFull: Yang, Zhong
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            NameFull: Hu, Guoxiong
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            NameFull: Fang, Ting
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            NameFull: Xu, Hao
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              M: 01
              Text: 2019
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              Y: 2019
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