The navigation system for Martin Marietta Denver Aerospace's autonomous land vehicle project receives information from the vision system about road boundaries and obstacle locations. This information is used in an optimization equation to create trajectory points on the road. The operation and the algorithms of the vision subsystem are described briefly. The operation and algorithms of the navigation, or reasoning, subsystem is then considered. An obstacle-avoidance navigator is presented.
Vision-based road following in the autonomous land vehicle
Sichtbasierte Strassenverfolgung fuer ein autonomes Gelaendefahrzeug
Proceedings of the 26th IEEE Conference on Decision and Control ; 3 ; 1814-1819
1987
6 Seiten, 3 Quellen
Conference paper
English
Color Image Segmentation for Autonomous Land Vehicle Road Following
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