Error compensation of GPS using sensor fusion in intelligent vehicle

Abstract

In the development of intelligent vehicles, path tracking of unmanned vehicle is a basis of autonomous driving and automatic navigation. It is very important to find the exact position of a vehicle for the path tracking, and it is possible to get the position information from GPS. However, the information of GPS is not the current position but the past position because a vehicle is moving and GPS has a time delay. In this paper, the moving distance of a vehicle is estimated using a direction sensor and a velocity sensor to compensate the position error of GPS. In the steering control, optimal fuzzy rules for the path tracking can be found through the simulation of Simulink. Real driving experiments show that the fuzzy rules are good for the steering control and the position error of GPS is well compensated by the proposed estimation method.