DocumentCode :
2657496
Title :
A fuzzy approach to the weighted region problem for autonomous vehicles
Author :
Ning, Xiong ; Shihuang, Shao ; Xizhou, Feng
Author_Institution :
Dept. of Electr. Eng., China Textile Univ., Shanghai, China
fYear :
1993
fDate :
25-27 Aug 1993
Firstpage :
400
Lastpage :
404
Abstract :
An approach is proposed to represent and reason about the uncertainty in terrain description by using fuzzy set theory. The whole terrain is assumed to be classified into a set of fuzzy regions, and weight of region is interpreted as a linguistic variable whose values are linguistic labels of fuzzy sets. Based on this representation, a decision function is established whose minus gradient information is used to lead the vehicle to travel to its goal with an acceptable cost
Keywords :
computational linguistics; fuzzy set theory; intelligent control; path planning; uncertainty handling; vehicles; autonomous vehicles; decision function; fuzzy set theory; intelligent control; linguistic variable; minus gradient information; terrain description; uncertainty reasoning; weighted region problem; Cost function; Euclidean distance; Fuzzy set theory; Fuzzy sets; Intelligent control; Lakes; Mobile robots; Remotely operated vehicles; Textiles; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
ISSN :
2158-9860
Print_ISBN :
0-7803-1206-6
Type :
conf
DOI :
10.1109/ISIC.1993.397680
Filename :
397680
Link To Document :
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