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

Chiung-Yao Fang, Chiou Shann Fuh, Sei-Wang Chen

Research output: Contribution to conferencePaper

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 languageEnglish
Pages624-629
Number of pages6
Publication statusPublished - 2002 Jan 1
Event2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States
Duration: 2002 May 122002 May 17

Other

Other2002 International Joint Conference on Neural Networks (IJCNN '02)
CountryUnited States
CityHonolulu, HI
Period02/5/1202/5/17

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Fang, C-Y., Fuh, C. S., & Chen, S-W. (2002). Driving environmental change detection subsystem in a vision-based driver assistance system. 624-629. Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, United States.