Abstract
Examines one of the main problems of mobile robot navigation:
determining exactly where the robot is at all times. Describes the most
important algorithm in localization: the extended Kalman filter. Looks
at the simplest type of navigation using a system of fixed beacons in
conjunction with a special sensor located on the vehicle and also the use of
“natural beacons”. Discuss the problems of building and
maintaining a map for the vehicle. Concludes that a complete solution to
mobile vehicle localization is a long way off.
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering
Cited by
29 articles.
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