Recent developments in automotive technology are focused on economy, comfort and safety. Vehicle tracking and collision detection systems are attracting attention of many investigators focused on safety of driving in the field of automotive mechatronics. In this paper, a vision-based vehicle detection system is presented. Developed system is intended to be used in collision detection and driver alert. The system uses RGB images captured by a camera in a car driven in the highway. Images captured by the moving camera are used to detect the moving vehicles in the image. A vehicle ahead of the camera is detected in daylight conditions. The proposed method detects moving vehicles by subtracting successive images. Plate height of the vehicle is determined by using a plate recognition algorithm. Distance of the moving object is calculated by using the plate height. After determination of the distance of the moving vehicle relative speed of the vehicle and Time-to-Collision are calculated by using distances measured in successive images. Results obtained in road tests are discussed in order to validate the use of the proposed method.


    Access

    Download


    Export, share and cite



    Title :

    A Real-time Computer Vision System for VehicleTracking and Collision Detection


    Contributors:

    Publication date :

    2012-08-21


    Remarks:

    oai:zenodo.org:1078929



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629





    Real-Time Lane Detection and Forward Collision Warning System Based on Stereo Vision

    Song, Wenjie / Fu, Mengyin / Yang, Yi et al. | British Library Conference Proceedings | 2017


    Real-time lane detection and forward collision warning system based on stereo vision

    Song, Wenjie / Fu, Mengyin / Yang, Yi et al. | IEEE | 2017


    Real Time Computer Vision

    B. Kallemov | NTIS | 2021


    Estimation of Time to Collision in a Computer Vision System

    VISWANATH PRASHANTH RAMANATHPUR / PODDAR DEEPAK KUMAR / NAGORI SOYEB et al. | European Patent Office | 2018

    Free access