Title :
An intelligent robot vision for autonomous navigation
Author :
Hammon, Earl P., Jr. ; Ashenayi, Kaveh
Author_Institution :
Dept. of Electr. Eng., Tulsa Univ., OK, USA
Abstract :
The vision system for an autonomous robotic vehicle is described in detail. The vision system utilizes fuzzy logic and artificial neural network technologies. This go-cart sized vehicle guided itself through an obstacle course in an international competition held at Disney World mid-July of 1996. A brief history of the competition an overview of the vehicle itself and the vision system´s achievements are also discussed
Keywords :
fuzzy logic; fuzzy neural nets; intelligent control; mobile robots; robot vision; artificial neural network; autonomous navigation; autonomous robotic vehicle; fuzzy logic; intelligent robot vision; Communication system control; Educational institutions; Educational robots; Hurricanes; Intelligent robots; Land vehicles; Machine vision; Mobile robots; Navigation; Remotely operated vehicles;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.619740
