Safety on roads is of uttermost importance, especially in the context of autonomous vehicles. A critical need is to detect and communicate disruptive incidents early and effectively. In this paper we propose a system based on an off-the-shelf deep neural network architecture that is able to detect and recognize types of unsigned (non-placarded, such as traffic signs), physical (visible in images) road incidents. We develop a taxonomy for unsigned physical incidents to provide a means of organizing and grouping related incidents. After selecting eight target types of incidents, we collect a dataset of twelve thousand images gathered from publicly-available web sources. We subsequently fine-tune a convolutional neural network to recognize the eight types of road incidents. The proposed model is able to recognize incidents with a high level of accuracy (higher than 90%). We further show that while our system generalizes well across spatial context by training a classifier on geostratified data in the United Kingdom (with an accuracy of over 90%), the translation to visually less similar environments requires spatially distributed data collection.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Detecting Unsigned Physical Road Incidents From Driver-View Images


    Beteiligte:
    Levering, Alex (Autor:in) / Tomko, Martin (Autor:in) / Tuia, Devis (Autor:in) / Khoshelham, Kourosh (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2021-03-01


    Format / Umfang :

    3556162 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Method, apparatus, and system for detecting road incidents

    ZHANG ZHENHUA / BERNHARDT BRUCE | Europäisches Patentamt | 2023

    Freier Zugriff

    METHOD, APPARATUS, AND SYSTEM FOR DETECTING ROAD INCIDENTS

    ZHANG ZHENHUA / BERNHARDT BRUCE | Europäisches Patentamt | 2022

    Freier Zugriff



    Systems and methods for detecting road congestion and incidents in real time

    STENNETH LEON | Europäisches Patentamt | 2016

    Freier Zugriff