A mobile robot must be able to determine its own position in the world. To support truly autonomous navigation, we present a system that builds and maintains its own models of world locations and uses these models to recognize its world position from stereo vision input. The system is designed to be robust with respect to input errors and to respond to a gradually changing world by updating the world locations models. We present results from tests of the system that demonstrate it reliability. The model builder and recognizer system fit into a planned world modeling system that we describe. Keywords: Recognition; Artificial intelligence; Mobile robot; Stereo vision; Navigation. (KT)
Location Recognition Using Stereo Vision
1989
24 pages
Report
Keine Angabe
Englisch
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