• DocumentCode
    2372291
  • Title

    Tactical driver behavior prediction and intent inference: A review

  • Author

    Doshi, Anup ; Trivedi, Mohan M.

  • Author_Institution
    Lab. for Intell. & Safe Automobiles, Univ. of California, San Diego, La Jolla, CA, USA
  • fYear
    2011
  • fDate
    5-7 Oct. 2011
  • Firstpage
    1892
  • Lastpage
    1897
  • Abstract
    Drawing upon fundamental research in human behavior prediction, recently there has been a research focus on how to predict driver behaviors. In this paper we review the field of driver behavior and intent prediction, with a specific focus on tactical maneuvers, as opposed to operational or strategic maneuvers. The aim of a driver behavior prediction system is to forecast the trajectory of the vehicle prior in real-time, which could allow a Driver Assistance System to compensate for dangerous or uncomfortable circumstances. This review provides insights into the scope of the problem, as well as the inputs, algorithms, performance metrics, and shortcomings in the state-of-the-art systems.
  • Keywords
    behavioural sciences; driver information systems; inference mechanisms; road safety; driver assistance system; human behavior prediction; intent inference; operational maneuvers; performance metrics; strategic maneuvers; tactical driver behavior prediction; tactical maneuvers; trajectory forecasting; Automobiles; Heuristic algorithms; Hidden Markov models; Humans; Prediction algorithms; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4577-2198-4
  • Type

    conf

  • DOI
    10.1109/ITSC.2011.6083128
  • Filename
    6083128