• DocumentCode
    1583533
  • Title

    Digital Elevation Map estimation by vision-lidar fusion

  • Author

    Malartre, Florent ; Feraud, Thomas ; Debain, Christophe ; Chapuis, Roland

  • Author_Institution
    LASMEA, Aubiere, France
  • fYear
    2009
  • Firstpage
    523
  • Lastpage
    528
  • Abstract
    This paper is about environment perception for navigation system in real outdoor applications. Unlike other approaches that try to detect an obstacle of binary state, we consider here a Digital Elevation Map (DEM). This map has to be built in regards to the guidance system´s needs. These needs depend on the vehicle capabilities, its dynamical constraints, its speed etc... Starting with the navigation system´s needs, we establish a perception strategy to fill the DEM the most accuratly possible. This stategy allows to efficiently improve perception capability (sensors and computation capabilities) of our robot. Then, we proposed a system based on this perception strategy by the combinaison of vision and rangefinder.
  • Keywords
    Kalman filters; SLAM (robots); laser ranging; mobile robots; nonlinear filters; path planning; robot vision; visual perception; SLAM approach; digital elevation map estimation; environment perception; extended Kalman filter; navigation guidance system; rangefinder; real outdoor applications; robot perception capability; vision-lidar fusion; Biomimetics; Cameras; Geometry; Military computing; Mobile robots; Navigation; Robot sensing systems; Robot vision systems; Robotics and automation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-4774-9
  • Electronic_ISBN
    978-1-4244-4775-6
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.5420701
  • Filename
    5420701