The ability to detect pedestrians and other moving objects is crucial for an autonomous vehicle. This must be done in real-time with minimum system overhead. This paper discusses the implementationof a surround view system to identify moving as well as static objects that are close to the ego vehicle. The algorithm works on 4 views captured by fisheye cameras which are merged into a single frame. The moving object detection and tracking solution uses minimal system overhead to isolate regions of interest (ROIs) containing moving objects. These ROIs are then analyzed using a deep neural network (DNN) to categorize the moving object. With deployment and testing on a real car in urban environments, we have demonstrated the practical feasibility of the solution.11The video demos of our algorithm have been uploaded to Youtube: https://youtu.be/vpoCfC724iA, https://youtu.be/2X4aqH2bMBs


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real-time Detection, Tracking, and Classification of Moving and Stationary Objects using Multiple Fisheye Images


    Beteiligte:
    Baek, Iljoo (Autor:in) / Davies, Albert (Autor:in) / Yan, Geng (Autor:in) / Rajkumar, Ragunathan Raj (Autor:in)


    Erscheinungsdatum :

    01.06.2018


    Format / Umfang :

    834575 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    REAL-TIME DETECTION, TRACKING, AND CLASSIFICATION OF MOVING AND STATIONARY OBJECTS USING MULTIPLE FISHEYE IMAGES

    Baek, Iljoo / Davies, Albert / Yan, Geng et al. | British Library Conference Proceedings | 2018


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

    Bertozzi, Massimo / Castangia, Luca / Cattani, Stefano et al. | IEEE | 2015


    Tracking of fast moving objects in real time

    Kruglov, A. V. / Kruglov, V. N. | British Library Online Contents | 2016



    CNN-based Fisheye Image Real-Time Semantic Segmentation

    Saez, Alvaro / Bergasa, Luis M. / Romeral, Eduardo et al. | IEEE | 2018