Towards Smarter Cars

  • Karin Sobottka
  • Esther Meier
  • Frank Ade
  • Horst Bunke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1724)


Most approaches for vision systems use greyscale or color images. In many applications, such as driver assistance or presence detection systems, the geometry of the scene is more relevant than the reflected brightness information and therefore range sensors are of increasing interest.

In this paper we focus on an automotive application of such a range camera to increase safety on motorways. This driver assistance system is capable of automatically keeping the car at an adequate distance or warning the driver in case of dangerous situations.

The problem is addressed in two steps: obstacle detection and tracking. For obstacle detection two different approaches are presented based on slope evaluation and computation of a road model. For tracking, one approach applies a matching scheme, the other uses a Kalman filter. Results are shown for several experiments.


Range Image Matching Scheme Range Sensor Driver Assistance System Tracking Scheme 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Karin Sobottka
    • 1
  • Esther Meier
    • 2
  • Frank Ade
    • 2
  • Horst Bunke
    • 1
  1. 1.Institute of Computer Science and Applied MathematicsUniversity of BernBernSwitzerland
  2. 2.Communication Technology Lab, Image ScienceSwiss Federal Institute of TechnologyZurichSwitzerland

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