Vision-based road following for an autonomous land vehicle
A. Waxman, Jacqueline Le Moigne, Balaji Vasan Srinivasan, L. DAVIS, Azriel Rosenfeld · 1985
This paper describes ongoing work in support of the Autonomous Land Vehicle project of the Defense Advanced Research Projects Agency's Strategic Computing Program. A visual navigation system is being developed to enable a vehicle to follow roads which, for the time being, are free of obstacles. We have developed an approach which consists of a bootstrap phase and a feed-forward phase. In each phase, visual processing is executed in three modules: an image processing module, a geometry module and a rule-based reasoning module. These modules and their inter-relationships are described, with particular detail given to the image processing module.