• DocumentCode
    3597954
  • Title

    Research of vehicle monocular measurement system based on computer vision

  • Author

    Jun-Tao Xue ; Shao-Peng Xu ; Shi-Ming Wang

  • Author_Institution
    Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China
  • Volume
    2
  • fYear
    2013
  • Firstpage
    957
  • Lastpage
    961
  • Abstract
    The modern transportation indeed brings us convenience, while the traffic accidents also endanger people´s lives and property safety seriously. Real-time and accurate detection of the distance of the vehicle in front will reduce traffic accidents effectively. Therefore, this article summarizes and improves the vehicle detection and ranging model on the basis of in-depth analysis of the existing methods. This paper combines shadow detection and license plate positioning approach to vehicle detection, establishing an improved ranging model to study monocular ranging system. We can conclude from the experimental results that the method we designed in this paper is effective and feasible to some extent and has higher operation efficiency and accuracy.
  • Keywords
    computer vision; object detection; road traffic; road vehicles; traffic engineering computing; computer vision; indepth analysis; license plate positioning; monocular ranging system; shadow detection; traffic accidents; vehicle detection; vehicle monocular measurement system; Abstracts; Computer vision; Measurement uncertainty; Position measurement; Vehicles; License Plate Positioning; Monocular Measurement Model; Shadow Detection; Vehicle Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICMLC.2013.6890420
  • Filename
    6890420