The capabilities of a sensing system and its implementation are among the critical factors to determine the overall performance and the subsequent public acceptance of automated/autonomous vehicles. However, the uncertainty for system to work and maintain safety under undesirable conditions, such as inclement weather or low illumination, is still an obstacle to commonly accepted and legitimate applications. The safety of the automated/autonomous vehicle is in many ways determined by the performances of the subsystems. In this paper, two accuracy metrics are proposed to qualitatively assess the safety performance that each sensor can contribute. Upon the analysis of the limitations of all individual sensors, we present several novel approaches to improve the vehicle sensing architecture for achieving more reliable perception and eventually, all-condition safety.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Sensing architecture for automated/autonomous vehicles towards all-condition safety


    Beteiligte:
    Meng, Huadong (Autor:in) / Zhang, Wei-Bin (Autor:in)


    Erscheinungsdatum :

    2017-06-01


    Format / Umfang :

    642021 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A SAFETY ARCHITECTURE FOR AUTONOMOUS VEHICLES

    WAGNER MICHAEL D / RAY JUSTIN / KANE AARON et al. | Europäisches Patentamt | 2018

    Freier Zugriff

    A SAFETY ARCHITECTURE FOR AUTONOMOUS VEHICLES

    WAGNER MICHAEL D / RAY JUSTIN / KANE AARON et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Towards Autonomous Vehicles

    C. Schwarz / G. Thomas / K. Nelson et al. | NTIS | 2013


    Application of Autonomous Vehicles for Automated Roadside Safety Assessment

    Manasreh, Dmitry / Nazzal, Munir D. / Talha, Sk Abu et al. | Transportation Research Record | 2022


    A New Architecture of Autonomous Vehicles: Redundant Architecture to Improve Operational Safety

    Boubakri, Anis / Mettali Gamar, Sonia | BASE | 2021

    Freier Zugriff