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

fYear

2014

fDate

May 31 2014-June 2 2014

Firstpage

2109

Lastpage

2112

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (2014 CCDC), The 26th Chinese

Conference_Location

Changsha

Print_ISBN

978-1-4799-3707-3

Type

conf

DOI

10.1109/CCDC.2014.6852515

Filename

6852515