• DocumentCode
    3360587
  • Title

    The application of evidence theory in the recognition of car

  • Author

    Zhigang, Li ; Xueyi, Tian

  • Author_Institution
    Inf. & Commun. Eng. Coll., Harbin Eng. Univ., Harbin, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    4829
  • Lastpage
    4832
  • Abstract
    In this paper, it introduces the evidence theory in the recognition of car. Firstly, it uses the gray correlation algorithm to get the Basic Probability Assignment Function (BPAF) of evidence theory, and then designs three evidence fusion structures, including concentrated fusion, distributed fusion without feedback and distributed fusion with feedback, which fuse the data from different measurements and sensors. Finally, it adopts the basic credibility number as the decision-making method.
  • Keywords
    feedback; grey systems; image recognition; probability; basic probability assignment function; car recognition; concentrated fusion; decision making; distributed fusion; evidence fusion structures; evidence theory; feedback; gray correlation; Algorithm design and analysis; Bismuth; Decision making; Educational institutions; Feedback; Fuses; Sensor fusion; Basic Credibility number; Evidence Theory; Fusion Structure; Recognition of car;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536294
  • Filename
    5536294