Title :
A study of intelligent vehicle motion control system based on multi-sensor information fusion
Author :
Lan Yanting ; Huang Jinying
Author_Institution :
Sch. of Comput. & Control Eng., North Univ. of China, Taiyuan, China
fDate :
May 31 2014-June 2 2014
Abstract :
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.
Keywords :
intelligent transportation systems; motion control; road traffic control; sensor fusion; adaptive weighted information fusion algorithm; distance measuring system; intelligent vehicle data collection; intelligent vehicle motion control; multisensor information fusion; Accuracy; Acoustics; Infrared sensors; Intelligent vehicles; Measurement uncertainty; Ultrasonic variables measurement; Weight measurement; Adaptive weighted algorithm; Information fusion; Intelligent vehicle; Multi-sensor;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852515
