The paper presents a system that recognizes the make, colour and type of the vehicle. The classification has been performed using low quality data from real-traffic measurement devices. For detecting vehicles’ specific features three methods have been developed. They employ several image and signal recognition techniques, e.g. Mamdani Fuzzy Inference System for colour recognition or Scale Invariant Features Transform for make identification. The obtained results are very promising, especially because only on-site equipment, not dedicated for such application, has been employed. In case of car type, the proposed system has better performance than commonly used inductive loops. Extensive information about the vehicle can be used in many fields of Intelligent Transport Systems, especially for traffic supervision.


    Access

    Download


    Export, share and cite



    Title :

    System for Detecting Vehicle Features from Low Quality Data




    Publication date :

    2018




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Detecting features in seismic and geodetic data

    Donnellan, A. / Granat, R. / Rundle, J. | NTRS | 2003


    VEHICLE DETECTING SYSTEM

    NISHIZAKI RYOHEI / YANAGIDA AKIRA | European Patent Office | 2018

    Free access

    VEHICLE-DETECTING SYSTEM

    HIRAYAMA YOSHIYUKI | European Patent Office | 2019

    Free access

    Acoustic features in vehicle interior noise quality

    Flindell, I.H. / Lewis, C.G. | Tema Archive | 1996


    Detecting apparatus for vehicle and detecting system for vehicle

    LEE KANG HO / RYU JAY YOUNG | European Patent Office | 2022

    Free access