Where am I? A tutorial on mobile vehicle localization
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.
Keywords
Citation
Durrant‐Whyte, H. (1994), "Where am I? A tutorial on mobile vehicle localization", Industrial Robot, Vol. 21 No. 2, pp. 11-16. https://doi.org/10.1108/EUM0000000004145
Publisher
:MCB UP Ltd
Copyright © 1994, MCB UP Limited