• DocumentCode
    2538704
  • Title

    Hierarchical framework for direct gradient-based time-to-contact estimation

  • Author

    Horn, Berthold K. P. ; Fang, Yajun ; Masaki, Ichiro

  • Author_Institution
    Electr. Eng. & Comput. Sci. Dept., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    1394
  • Lastpage
    1400
  • Abstract
    The time-to-contact (TTC) estimation is a simple and convenient way to detect approaching objects, potential danger, and to analyze surrounding environment. TTC can be estimated directly from single camera though neither distance nor speed information can be estimated with single cameras. Traditional TTC estimation depends on ldquointeresting feature pointsrdquo or object boundaries, which is noisy and time consuming. In, we propose a direct ldquogradient-basedrdquo method to compute time-to-contact in three special cases that avoid feature points/lines and can take advantages of all related pixels for better computation. In this follow-up paper, we discuss the method to deal with the most general cases and propose a hierarchical fusion framework for direct gradient-based time-to-contact estimation. The new method enhances accuracy, robustness and is computationally efficient, which is important to provide fast response for vehicle applications.
  • Keywords
    gradient methods; motion estimation; traffic engineering computing; direct gradient-based method; hierarchical fusion framework; time-to-contact estimation; vehicle; Cameras; Differential equations; Focusing; Image motion analysis; Image sensors; Intelligent sensors; Object detection; Optical sensors; Robustness; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2009 IEEE
  • Conference_Location
    Xi´an
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-3503-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2009.5164489
  • Filename
    5164489