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Toward Smarter Cars

K. Sobottka, E. Meier, F. Ade and H. Bunke
Sensor-Based Intelligent Robots, International Workshop Dagstuhl Castle, Springer-Verlag


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.

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  author = {K. Sobottka and E. Meier and F. Ade and H. Bunke},
  title = {Toward Smarter Cars},
  booktitle = {Sensor-Based Intelligent Robots, International Workshop Dagstuhl Castle, Springer-Verlag},
  year = {1999},
  keywords = {range data, segmentation, model-based, tracking}