All-around view is a mandatory element for autonomous vehicles. The European V-Charge project seeks to develop an autonomous vehicle using only low-cost sensors. This paper presents a detection and tracking algorithm that covers all the area around the vehicle using 4 fisheye cameras only. The algorithm is able to detect pedestrians and vehicles and track them, using cylindrical images. This paper presents the whole pipeline, from the image un-warping to the classification and the tracking algorithms, together with some results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    360° Detection and tracking algorithm of both pedestrian and vehicle using fisheye images


    Contributors:


    Publication date :

    2015-06-01


    Size :

    1965960 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    360° Detection and Tracking Algorithm of Both Pedestrian and Vehicle Using Fisheye Images

    Prioletti, Antonio / Versari, Pietro / Bertozzi, Massimo et al. | British Library Conference Proceedings | 2015



    Vehicle and pedestrian detection and tracking

    Ali, A.T. / Dagless, E.L. | Tema Archive | 1990


    Pedestrian Detection and Tracking in Far Infrared Images

    Yasuno, M. / Sasaki, R. / Yasuda, N. et al. | British Library Conference Proceedings | 2005


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

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