In modern ITS, the precise recognition of vehicle information depends upon quality of images captured by camera. According to the changing of environment lighting condition, self-adaptive automatic exposure compensation control for camera is one of key elements to capture high quality images. This paper proposes Image Projection Information Model (IPIM). We can classify images and evaluate quality of images based on IPIM joined with vehicle and background of image average luminance level. According to the classification of images and evaluation of images quality, this paper presents a method of self-adaptive automatic exposure compensation control for camera.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A New Method of Precise Self-Adaptive Automatic Exposure Control for Camera in Intellegent Transportation Systems


    Contributors:

    Conference:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Publication date :

    2007-07-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    A New Method of Precise Self-Adaptive Automatic Exposure Control for Camera in Intelligent Transportation Systems

    Wang, B.-P. / You, Z.-S. / Jiang, X.-R. et al. | British Library Conference Proceedings | 2007



    An intellegent vehicle oriented EMC reverse diagnostic model based on SVM

    Lei, Jianmei / Mu, Jie / Zeng, Lingqiu et al. | IEEE | 2020



    An Intellegent Traffic Control Prototype for Smooth Vehicular Flow based on FX5U-32MT PLC

    Badhoutiya, Arti / Shivhare, Nidhi / Goyal, Sachin | IEEE | 2021