A system to detect complex motion of nearby vehicles on freeways

Chiung-Yao Fang, C. P. Chen, C. S. Fuh, Sei-Wang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1122-1127
Number of pages6
ISBN (Electronic)0780381254
DOIs
Publication statusPublished - 2003 Jan 1
Event2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003 - Shanghai, China
Duration: 2003 Oct 122003 Oct 15

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2

Other

Other2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003
CountryChina
CityShanghai
Period03/10/1203/10/15

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Keywords

  • Cognitive process
  • Fuzzy integral
  • Motion detection
  • Neural networks

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Fang, C-Y., Chen, C. P., Fuh, C. S., & Chen, S-W. (2003). A system to detect complex motion of nearby vehicles on freeways. In Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems, ITSC 2003 (pp. 1122-1127). [1252660] (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2003.1252660