Fuzzy sensor data fusion in GPS vehicle positioning

Based on fuzzy logic techniques an intelligent vehicle positioning system (VPS) is developed that provides accurate positioning using sensor data from a GPS (Global Positioning System) receiver a differential odometer a magnetic compass and a digital map. By simultaneous sensor and model corrections, VPS implements an efficient, parallel self-adaptation to achieve real-time performance, without the track recovery time and the inertia effort of a Kalman filter-based positioning system. Road tests on a land-based motor vehicle have demonstrated the VPS's robust system performance superior to other techniques such as Kalman filtering method.