A study of intelligent vehicle motion control system based on multi-sensor information fusion

Aiming at the randomness of intelligent vehicle data collection and the huge difference between the data collected which may easily result in information conflict, missing of effective data and large decreasing of effective data, method of distribution chart is used to eliminate negligent errors on the basis of multi-sensor data collecting and data is processed by adaptive weighted information fusion algorithm in the mean time to obtain more reliable distance information. Experiment shows this method improves the accuracy of the distance measuring system and eliminates effectively errors caused by sensor failure.