Abstract
Describes current research work into the design of a 3‐D vision sensor for use in the field of robot navigation and autonomous vehicles. Outlines the development of a stereo vision system which uses fast data processing to extract feature points in the stereo images and a new fast stereo matching algorithm. Gives results of experiments performed using this system and concludes that the applications require fast, self‐adaptive algorithms which can be processed by parallel processors. This was obtained by means of a special configuration and a highly parallelizable stereo vision process based on the declivity feature matched by dynamic programming.
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