• DocumentCode
    3530076
  • Title

    Research on the quantitative evaluation system for unmanned ground vehicles

  • Author

    Xiong, Guangming ; Zhao, Xijun ; Liu, Haiou ; Wu, Shaobin ; Gong, Jianwei ; Zhang, Haojie ; Tan, Huachun ; Chen, Huiyan

  • Author_Institution
    Intell. Vehicle Res. Center, Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    523
  • Lastpage
    527
  • Abstract
    The first Chinese unmanned ground vehicles competition - The 2009 Future Challenge: Intelligent Vehicles and Beyond (FC´09) pushed China´s unmanned vehicles out of laboratories and into application environments. In order to further promote the development of unmanned vehicle technologies, the test and evaluation system for unmanned vehicles needs to be studied. The design method of test environment is proposed in accordance with the definition and classification of test environment elements. Based on the multi-platform and multi-sensor, an omnidirectional video monitoring test system of unmanned vehicles is built. The fuzzy comprehensive evaluation method combined with AHP (analytic hierarchy process) is applied to the comprehensive evaluation of unmanned vehicles. The evaluation examples of unmanned vehicles show that the proposed evaluation system can quantitatively evaluate the overall technical performance and individual technical performance of unmanned vehicles.
  • Keywords
    decision making; fuzzy set theory; mobile robots; remotely operated vehicles; road vehicles; sensor fusion; traffic engineering computing; video surveillance; AHP; Chinese unmanned ground vehicle; analytic hierarchy process; fuzzy comprehensive evaluation method; intelligent vehicle; multisensor; omnidirectional video monitoring test system; quantitative evaluation system; Design methodology; Intelligent vehicles; Land vehicles; Mobile robots; Monitoring; Remotely operated vehicles; Road vehicles; System testing; USA Councils; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2010 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-7866-8
  • Type

    conf

  • DOI
    10.1109/IVS.2010.5548144
  • Filename
    5548144