Embedded weather adaptive lane and vehicle detection system

Bing-Fei Wu*, Chao Jung Chen, Chih Chimg Kao, Chia Wei Chang, Shen Ting Chiu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

In this paper, the lane and vehicle detection with distance estimation algorithm is proposed by using a CCD camera mounted behind the windshield of our experimental car, TAIWAN iTS-1. The gray level and gradient value are applied for the lane marking detection. The lane marking information is utilized in vehicle detection algorithm. The front vehicles are recognized by comparing the gray level value and Sobel edge pixels. Then, the image coordinate model is utilized for the distance estimation with the located approaching vehicles. The verified effective distance is 50m in front of the host vehicle. This approach has been successfully implemented on the DSP system which is designed by us for the real-time detection. This system will be integrated into the lane departure warning and collision avoidance system with the visual and audio alerts to warn the careless drivers.

Original languageEnglish
Title of host publication2008 IEEE International Symposium on Industrial Electronics, ISIE 2008
Pages1255-1260
Number of pages6
DOIs
StatePublished - 29 Dec 2008
Event2008 IEEE International Symposium on Industrial Electronics, ISIE 2008 - Cambridge, United Kingdom
Duration: 30 Jun 20082 Jul 2008

Publication series

NameIEEE International Symposium on Industrial Electronics

Conference

Conference2008 IEEE International Symposium on Industrial Electronics, ISIE 2008
CountryUnited Kingdom
CityCambridge
Period30/06/082/07/08

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