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
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;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1252660
