A new vehicle detection with distance estimation for lane change warning systems

Bing-Fei Wu*, Wei Hsin Chen, Chai Wei Chang, Chao Jung Chen, Ming Wei Chung

*Corresponding author for this work

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

21 Scopus citations

Abstract

In this paper, the vehicle detection with distance estimation algorithm is proposed by using two CCD cameras mounted on the both side mirrors of our experimental car, TAIWAN iTS-1. The Sobel edge pixels and gray intensity are applied for the lane marking and vehicle detection in our work. A new detection which utilizes a lane prediction technique to reduce the size of the ROI is developed for real-time embedded system applications. The side vehicles can be easily detected by comparing the gray intensity with the road surface. Then, the image coordinate model is utilized for the distance estimation with the detected approaching vehicles. The verified effective distance is 30m behind the host vehicle. This approach has been successfully implemented on the DSP board for the real-time detection and this system will be extended to the lane change warning system to give drivers alerts to avoid collision.

Original languageAmerican English
Title of host publicationProceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007
PublisherIEEE
Pages698-703
Number of pages6
ISBN (Print)1424410681, 9781424410682
DOIs
StatePublished - 1 Dec 2007
Event2007 IEEE Intelligent Vehicles Symposium, IV 2007 - Istanbul, Turkey
Duration: 13 Jun 200715 Jun 2007

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference2007 IEEE Intelligent Vehicles Symposium, IV 2007
Country/TerritoryTurkey
CityIstanbul
Period13/06/0715/06/07

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