This paper proposes a novel approach for detecting and tracking vehicles to the rear and in the blind zone of a vehicle, using a single rear-mounted fisheye camera and multiple detection algorithms. A maneuver that is a significant cause of accidents involves a target vehicle approaching the host vehicle from the rear and overtaking into the adjacent lane. As the overtaking vehicle moves toward the edge of the image and into the blind zone, the view of the vehicle gradually changes from a front view to a side view. Furthermore, the effects of fisheye distortion are at their most pronounced toward the extremities of the image, rendering detection of a target vehicle entering the blind zone even more difficult. The proposed system employs an AdaBoost classifier at distances of 10-40 m between the host and target vehicles. For detection at short distances where the view of a target vehicle has changed to a side view and the AdaBoost classifier is less effective, identification of vehicle wheels is proposed. Two methods of wheel detection are employed: at distances between 5 and 15 m, a novel algorithm entitled wheel arch contour detection (WACD) is presented, and for distances less than 5 m, Hough circle detection provides reliable wheel detection. A testing framework is also presented, which categorizes detection performance as a function of distance between host and target vehicles. Experimental results indicate that the proposed method results in a detection rate of greater than 93% in the critical range (blind zone) of the host.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Blind-Zone Detection Method Using a Rear-Mounted Fisheye Camera With Combination of Vehicle Detection Methods




    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.84 Straßenverkehr / 55.24 / 55.84 / 55.24 Fahrzeugführung, Fahrtechnik




    Object Detection and Classification Using a Rear In-Vehicle Fisheye Camera

    Tadjine, HadjHamma / Hess, Markus / Karsten, Schulze | Springer Verlag | 2012


    Object detection and classification using a rear in-vehicle fisheye camera

    Tadjine,H.H. / Hess,M. / Karsten,S. et al. | Automotive engineering | 2012


    Object Detection and Classification Using a Rear In-Vehicle Fisheye Camera

    Tadjine, HadjHamma / Hess, Markus / Karsten, Schulze | Tema Archive | 2012


    Rear obstacle detection system with fisheye stereo camera using HCT

    Kim, Deukhyeon / Choi, Jinwook / Yoo, Hunjae et al. | Tema Archive | 2015