DocumentCode :
1870145
Title :
Research on Autonomous Driving Control Method of Intelligent Vehicle Based on Vision Navigation
Author :
Huang, Ming ; Zhang, Rui ; Ma, Yulin ; Yan, QingXin
Author_Institution :
Sch. of Navig., Wuhan Univ. of Technol., Wuhan, China
fYear :
2010
fDate :
10-12 Dec. 2010
Firstpage :
1
Lastpage :
7
Abstract :
Intelligent vehicle-highway system, through improving the intelligent control level of single vehicle and the ability of information interaction between vehicle and highway, can realize autonomous driving for intelligent vehicle and platoon driving, so as to solve the increasingly serious traffic problem. The intelligent control for single vehicle is the most important in the intelligent vehicle-highway system. It has been constructed that the experiment platform of intelligent vehicles based on vision navigation under the coordination between vehicle and highway by means of one-tenth of model cars, simulated road and the technology of intelligent control and wireless communication. On the basis of establishing the motion model of intelligent vehicle, it has been proposed the control strategy on autonomous driving for the intelligent vehicle, the accuracy and reliability of which have been verified by experimental analysis. The study has been providing the technical and experimental basis for further research on intelligent vehicle platoon control under the coordination between vehicle and highway.
Keywords :
automated highways; computerised navigation; intelligent control; vehicles; autonomous driving control method; information interaction; intelligent vehicle motion model; intelligent vehicle platoon control; intelligent vehicle-highway system; platoon driving; traffic problem; vision navigation; wireless communication; Artificial intelligence; Cameras; Intelligent vehicles; Navigation; Noise; Roads; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
Type :
conf
DOI :
10.1109/CISE.2010.5676770
Filename :
5676770
Link To Document :
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