Localization using fuzzy and Kalman filtering data fusion

摘要

In this paper a new localisation algorithm for the navigation of a mobile robot in outdoor environments is presented. The algorithm combines together a classical Kalman filter with a set of Fuzzy rules to fuse the information coming from different sensors. Some preliminary experimental results confirm the validity of the proposed approach.