Sun shines on 3-D vision sensor
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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media