Acta Optica Sinica, Volume. 40, Issue 17, 1715001(2020)

Scene Depth Estimation Based on Monocular Vision in Advanced Driving Assistance System

Meng Ding1,2、* and Xinyan Jiang1
Author Affiliations
  • 1College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 211106, China
  • 2Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, Civil Aviation Administration of China, Nanjing, Jiangsu 211106, China
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    Figures & Tables(10)
    Principle based on binocular reconstruction method
    Depth of field estimation and loss function based on left and right views
    Principle of multi scale unified operation
    Flow chart of our network
    Evaluation indicators of the four methods (KITTI dataset). (a) AbsRel; (b) RMSE
    Depth estimation results on the KITTI dataset. (a) Original image; (b) true value; (c) method of Ref.[14]; (d) method of Ref.[17]; (e) method of Ref.[20]; (f) our method
    Evaluation indicators of the four methods (Make3D dataset). (a) AbsRel; (b) RMSE
    Depth estimation results of outdoor roads.(a) Original image; (b) estimated result of depth of field
    • Table 1. XCRR obtained by different thresholds (KITTI dataset)unit: %

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      Table 1. XCRR obtained by different thresholds (KITTI dataset)unit: %

      XthrRef.[14]Ref.[17]Ref.[20]Ours
      1.2570.273.481.582.6
      1.25289.090.292.292.8
      1.25395.895.996.897.4
    • Table 2. XCRR obtained by different thresholds (Make3D dataset)unit: %

      View table

      Table 2. XCRR obtained by different thresholds (Make3D dataset)unit: %

      XthrRef.[14]Ref.[17]Ref.[20]Ours
      1.2569.266.272.175.2
      1.25289.988.590.791.2
      1.25394.893.295.196.2
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    Meng Ding, Xinyan Jiang. Scene Depth Estimation Based on Monocular Vision in Advanced Driving Assistance System[J]. Acta Optica Sinica, 2020, 40(17): 1715001

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    Paper Information

    Category: Machine Vision

    Received: May. 6, 2020

    Accepted: May. 29, 2020

    Published Online: Aug. 26, 2020

    The Author Email: Ding Meng (nuaa_dm@nuaa.edu.cn)

    DOI:10.3788/AOS202040.1715001

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