• DocumentCode
    1816865
  • Title

    Autonomous convoy driving by night: The vehicle tracking system

  • Author

    Fries, Carsten ; Wuensche, Hans-Joachim

  • Author_Institution
    Dept. of Aerosp. Eng., Univ. of the Bundeswehr Munich, Munich, Germany
  • fYear
    2015
  • fDate
    11-12 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Previous publications of our institute describe a robust vehicle tracking system for daylight conditions. This paper presents an improved vehicle tracking system which is able to detect and track the convoy leader also by twilight and night. The primary sensor equipment consists of a daytime camera, a LiDAR and an inertial navigation system. An expansion with a thermal and a lowlight camera was necessary to be robust against any illumination conditions. The system is capable of estimating the relative 3D position and orientation, the velocity and the steering angle of a convoy leader precisely in real-time. This makes it possible to follow the convoy leader´s track. Another novelty is coupling a Kalman filter with a particle filter for higher stability and accuracy in vehicle tracking. The tracking system shows excellent functionality while driving more than 50km fully autonomously in urban- and unstructured environments at night.
  • Keywords
    Kalman filters; cameras; inertial navigation; object detection; object tracking; optical radar; particle filtering (numerical methods); road vehicles; traffic engineering computing; Kalman filter; LiDAR; autonomous convoy driving by night; convoy leader vehicle detection; daytime camera; inertial navigation system; lowlight camera; particle filter; relative 3D position estimation; thermal camera; vehicle tracking system; Cameras; Image edge detection; Kalman filters; Radar tracking; Solid modeling; Three-dimensional displays; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Practical Robot Applications (TePRA), 2015 IEEE International Conference on
  • Conference_Location
    Woburn, MA
  • Type

    conf

  • DOI
    10.1109/TePRA.2015.7219675
  • Filename
    7219675