A system for traffic violation detection

Nourdine Aliane, Javier Fernandez, Mario Mata, Sergio Bemposta

    Research output: Contribution to journalArticlepeer-review

    18 Citations (Scopus)
    57 Downloads (Pure)


    This paper describes the framework and components of an experimental platform for an advanced driver assistance system (ADAS) aimed at providing drivers with a feedback about traffic violations they have committed during their driving. The system is able to detect some specific traffic violations, record data associated to these faults in a local data-base, and also allow visualization of the spatial and temporal information of these traffic violations in a geographical map using the standard Google Earth tool. The test-bed is mainly composed of two parts: a computer vision subsystem for traffic sign detection and recognition which operates during both day and nighttime, and an event data recorder (EDR) for recording data related to some specific traffic violations. The paper covers firstly the description of the hardware architecture and then presents the policies used for handling traffic violations.
    Original languageEnglish
    Pages (from-to)22113-22127
    Number of pages15
    Issue number11
    Publication statusPublished - 24 Nov 2014


    • advanced driver assistance system
    • traffic sign detection
    • GPS
    • digital maps
    • violation
    • traffic safety


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