With one of the highest motorization growth rate in the world accompanied by rapid expansion in road network and urbanization over the years, our country is faced with serious impacts on road safety levels. Hence, detecting and recognizing moving vehicles in traffic scenes for traffic surveillance, traffic control, and road traffic information systems is an emerging research area for Intelligent Transportation Systems. Due to rapid increase in vehicles, there is exponential increase in accidents. Some costly cars had already implemented some in-built features (varying according to the company) of vehicle collision avoidance system but it's not affordable to every individual. Hence, this work is an attempt to develop a vehicle tracking system with multiple features in one system to deal with the severity of a collision to some extent for the common men. An important aspect of this collision avoidance system is the tracking of vehicle taillights and the detection of alert signals (turns and brakes). It further has the provision of counting the cars, detecting the obstacles coming while driving with the measurement of its distance from the driven vehicle. In addition, tracking of number plate of vehicle is also possible to figure out the vehicle causing accidents.


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    Titel :

    Improved Vehicle Collision Avoidance System


    Beteiligte:
    Gaur, Lovely (Autor:in) / Rizvi, Imdad (Autor:in)


    Erscheinungsdatum :

    2018-03-01


    Format / Umfang :

    6594300 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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