Autonomous vehicles gain more and more attention. Moving towards highly automated vehicles requires the implementation of fault-tolerant systems. In this paper we propose an architecture for a fault-tolerant environmental perception, where either one fault in the hardware or one in the software can be detected. The hardware fault detection relies on a Landmark (LM) tracking approach. The software fault detection is based on comparing the outputs of redundant programs. The faulty module is then excluded in the data fusion algorithm by a fault masking. The functionality of the proposed approach is tested in simulation via injecting one hardware and one software fault.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fault-tolerant environmental perception architecture for robust automated driving


    Beteiligte:


    Erscheinungsdatum :

    01.11.2019


    Format / Umfang :

    560472 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    System Architecture and Application-Specific Verification Method for Fault-Tolerant Automated Driving Systems

    Mehmed, Ayhan / Steiner, Wilfried / Antlanger, Moritz et al. | IEEE | 2019


    SYSTEM ARCHITECTURE AND APPLICATION-SPECIFIC VERIFICATION METHOD FOR FAULT-TOLERANT AUTOMATED DRIVING SYSTEMS

    Mehmed, Ayhan / Steiner, Wilfried / Antlanger, Moritz et al. | British Library Conference Proceedings | 2019


    TOWARDS ROBUST DIRECT PERCEPTION NETWORKS FOR AUTOMATED DRIVING

    Cheng, Chih-Hong | British Library Conference Proceedings | 2020



    Fault tolerant power architecture

    LACAUX FREDERIC PIERRE / WANG XIAOQI / SHANG JIANQI et al. | Europäisches Patentamt | 2024

    Freier Zugriff