Driving environmental change detection subsystem in a vision-based driver assistance system

Chiung Yao Fang; Chiou Shann Fuh; Sei Wang Chen

Driving environmental change detection subsystem in a vision-based driver assistance system

Chiung Yao Fang^*, Chiou Shann Fuh, Sei Wang Chen

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages	624-629
Number of pages	6
Publication status	Published - 2002
Event	2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States Duration: 2002 May 12 → 2002 May 17

Other

Other	2002 International Joint Conference on Neural Networks (IJCNN '02)
Country/Territory	United States
City	Honolulu, HI
Period	2002/05/12 → 2002/05/17

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

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title = "Driving environmental change detection subsystem in a vision-based driver assistance system",

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.",

author = "Fang, {Chiung Yao} and Fuh, {Chiou Shann} and Chen, {Sei Wang}",

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AU - Fang, Chiung Yao

AU - Fuh, Chiou Shann

AU - Chen, Sei Wang

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AB - 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.

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M3 - Paper

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T2 - 2002 International Joint Conference on Neural Networks (IJCNN '02)

Y2 - 12 May 2002 through 17 May 2002

ER -

Driving environmental change detection subsystem in a vision-based driver assistance system

Abstract

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ASJC Scopus subject areas

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