Abstract
To use a world model, a mobile robot must be able to determine its
own position in the world. MARVEL, 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, supports truly autonomous
navigation. MARVEL is designed to be robust with respect to input errors
and to respond to a gradually changing world by updating its world
location models. In over 1000 recognition tests using real-world data,
MARVEL yielded a false negative rate under 10% with zero false positives
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