DocumentCode :
2491085
Title :
Visual navigation of intelligent vehicle based on optimization path
Author :
Sheng, Chaoqiang ; Chen, Jiao ; Xie, Zhaoli ; Bai, Yingjie ; Yang, Zongyu
Author_Institution :
Dept. of Autom., Univ. of Chongqing, Chongqing
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
5068
Lastpage :
5072
Abstract :
In order to realize high-speed operation of intelligent vehicle, considering weighted data extraction of the original binary image and the use of linear least-squares method together with characteristic data, a visual navigation algorithm of intelligent vehicle based on optimization path was designed. Simulation and model carpsilas running results show that the algorithm has improved the speediness of intelligent vehicle effectively.
Keywords :
automobiles; image processing; least squares approximations; optimisation; traffic engineering computing; binary image; intelligent vehicle; linear least-squares method; model car; optimization path; visual navigation algorithm; weighted data extraction; Algorithm design and analysis; Data mining; Design automation; Design optimization; Image recognition; Image sampling; Intelligent vehicles; Navigation; Sampling methods; Signal sampling; intelligent vehicle; optimization path model; visual navigation; weighted data extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593752
Filename :
4593752
Link To Document :
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