• DocumentCode
    82453
  • Title

    Extensive Tests of Autonomous Driving Technologies

  • Author

    Broggi, Alberto ; Buzzoni, Michele ; Debattisti, Stefano ; Grisleri, Paolo ; Laghi, Maria Chiara ; Medici, Paolo ; Versari, Pietro

  • Author_Institution
    Artificial Vision & Intell. Syst. Lab. (VisLab), Univ. degli Studi di Parma, Parma, Italy
  • Volume
    14
  • Issue
    3
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    1403
  • Lastpage
    1415
  • Abstract
    This paper presents the vision of the Artificial Vision and Intelligent Systems Laboratory (VisLab) on future automated vehicles, ranging from sensor selection up to their extensive testing. VisLab´s design choices are explained using the BRAiVE autonomous vehicle prototype as an example. BRAiVE, which is specifically designed to develop, test, and demonstrate advanced safety applications with different automation levels, features a high integration level and a low-cost sensor suite, which are mainly based on vision, as opposed to many other autonomous vehicle implementations based on expensive and invasive sensors. The importance of performing extensive tests to validate the design choices is considered to be a hard requirement, and different tests have been organized, including an intercontinental trip from Italy to China. This paper also presents the test, the main challenges, and the vehicles that have been specifically developed for this test, which was performed by four autonomous vehicles based on BRAiVE´s architecture. This paper also includes final remarks on VisLab´s perspective on future vehicles´ sensor suite.
  • Keywords
    mobile robots; remotely operated vehicles; road vehicles; sensors; telerobotics; testing; Artificial Vision and Intelligent Systems Laboratory; BRAiVE autonomous vehicle prototype; China; Italy; VisLab; automated vehicles; autonomous driving technologies; autonomous ground vehicle; brain drive; intercontinental trip; invasive sensors; ADAS; HMI; autonomous vehicles; robot navigation; sensor integration; vision-based guidance;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2013.2262331
  • Filename
    6522193