DocumentCode
400316
Title
A system to detect complex motion of nearby vehicles on freeways
Author
Fang, C.Y. ; Chen, C.P. ; Fuh, C.S. ; Chen, S.W.
Author_Institution
Dept. of Information & Comput. Educ., Nat. Taiwan Univ., Taipei, Taiwan
Volume
2
fYear
2003
fDate
12-15 Oct. 2003
Firstpage
1122
Abstract
We propose an improved computational model motivated by human cognitive processes for detecting changes of driving environments. The model, called dynamic visual model (DVM), consists of three major components: sensory, perceptual, and conceptual components. The proposed model is used as the underlying framework in which a system for detecting complex motions of nearby moving vehicles on a freeway is developed.
Keywords
cognitive systems; fuzzy set theory; motion estimation; neural nets; road vehicles; cognitive process; computational model; conceptual components; driving environments; dynamic visual model; freeways; fuzzy integral; human cognitive processes; motion detection; neural networks; perceptual components; sensory components; vehicles complex motion; Acceleration; Computational modeling; Humans; Motion detection; Neural networks; Road vehicles; Traffic control; Vehicle detection; Vehicle driving; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN
0-7803-8125-4
Type
conf
DOI
10.1109/ITSC.2003.1252660
Filename
1252660
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