POSSIBILISTIC POSITION ESTIMATION IN MOBILE ROBOTICS
P. Bison, G. Chemello, G. Trainito
Abstract:
Using an enhanced version of possibility theory, we propose a logicbased position estimation method, fusing symbolic knowledge and interpretations of uncertain sensor data. The method is tested on a mobile robot using an annotated topological map of an indoor environment.
Keywords:
mobile robotics, management of uncertainty, localization
Download:
IMEKO-WC-2000-TC17-P446.pdf
DOI:
-
Event details
Event name:
XVI IMEKO World Congress
Title:

Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future

Place:
Vienna, AUSTRIA
Time:
25 September 2000 - 28 September 2000
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