Title :
Driving environmental change detection subsystem in a vision-based driver assistance system
Author :
Fang, Chiung-Yao ; Fuh, Chiou-Shann ; Chen, Sei-Wang
Author_Institution :
Dept. of Inf. & Comput. Educ., Nat. Taiwan Normal Univ., Taipei, Taiwan
fDate :
6/24/1905 12:00:00 AM
Abstract :
We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model consists of three major components: sensory, perceptual, and conceptual components. The proposed computational model is used as the underlying framework in which a system for detecting changes of driving environments is developed
Keywords :
driver information systems; feature extraction; image sequences; learning (artificial intelligence); multilayer perceptrons; video signal processing; computational model; conceptual component; driving environmental change detection subsystem; human cognitive processes; perceptual component; sensory component; vision-based driver assistance system; Biological neural networks; Computational modeling; Computer science; Computer science education; Computer vision; Focusing; Humans; Information analysis; Neurons; Shape;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005544
