On the roadside, there is a plethora of information that can aid drivers in driving safely. One such thing is a traffic convex mirror which are usually found in T-junctions, turns and parking areas. The Advance Driver Assistance System (ADAS) will play a key role in detecting such mirrors and alerting the driver in advance. At present, there is no such function available in driver assistance systems which can analyze the information available in traffic convex mirrors for autonomous and semi-autonomous vehicles. Thus, it is currently not possible to extract information that is readily available to the driver. However, every traffic convex mirror on the road is not useful for the driver, so in this paper, a computer vision-based solution is provided to identify a valid convex mirror which extracts and provides only the required information to the driver. The ADAS camera can detect the presence of a convex mirror on the roadside. This convex mirror provides information of the incoming objects and obstacles in a blind spot that is not in the direct field of view. By analyzing the region which is present inside the mirror for oncoming road participants, it is possible to determine whether the mirror is useful for driver assistance or not.


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    Title :

    Computer Vision Based Roadside Traffic Convex Mirror Validation for Driver Assistance System


    Additional title:

    Advs in Intelligent Syst., Computing




    Publication date :

    2022-05-15


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English







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    Erratum to: Computer Vision for Driver Assistance: Simultaneous Traffic and Driver Monitoring

    Rezaei, Mahdi / Klette, Reinhard | Springer Verlag | 2017

    Free access