Vision-based front vehicle detection and its distance estimation

Jyh-Yeong Chang*, Chien-Wen Cho

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Scopus citations

Abstract

Vision-based driver assistant systems are very promising in Intelligent Transportation System (ITS). This paper will propose a system that can detect front vehicles and estimate the nearest car distance from the host car. In a companion paper [1], we have developed a scene analysis module that deals with scene segmentation and natural object labeling of forward-looking images by the use of fuzzy Adaptive Resonance Theory (ART) and fuzzy inference techniques. Based on this technique, the proposed system can detect the front vehicles and then estimate the distance of the nearest car from us. The validity of our proposed scheme in car detection and the distance estimation was verified to be very successful by field-test experiments.
Original languageEnglish
Title of host publication2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS
PublisherIEEE
Pages 2063-+
ISBN (Print)978-1-4244-0099-7
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan
Duration: 8 Oct 200611 Oct 2006

Publication series

NameIEEE International Conference on Systems Man and Cybernetics Conference Proceedings
ISSN (Print)1062-922X

Conference

Conference2006 IEEE International Conference on Systems, Man and Cybernetics
CountryTaiwan
CityTaipei
Period8/10/0611/10/06

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    Chang, J-Y., & Cho, C-W. (2006). Vision-based front vehicle detection and its distance estimation. In 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS (pp. 2063-+). (IEEE International Conference on Systems Man and Cybernetics Conference Proceedings). IEEE. https://doi.org/10.1109/ICSMC.2006.385164