Towards all around automatic visual obstacle sensing for cars

Abstract
We currently work on the implementation of an integrated prototype system that provides "all around" automatic visual obstacle sensing for a Daimler-Benz test car. Most of the machine vision techniques being used have been developed within the European PROMETHEUS programme and a number of other research projects carried out by the authors and other affiliates of their institutions. This includes robust symmetry measuring, neural net-based adaptive object detection and tracking, and inverse-perspective stereo image matching and robust scale estimation in time.

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