In contrast to human drivers, automated vehicles (AV) can observe its complete surrounding in every moment and take precise measurements. The decision-making process and computation of feasible trajectories are very rapid and actuation can happen almost without any delay. Therefore, research suggests, that automated vehicles will contribute to make traffic safer. The deployment in the market, though, requires assurance of the safety of an automated system through validation and verification. A unified process to do so does not yet exist. In particular, when the use cases of the system comprise complex situations such as those occurring in urban traffic, the process might become very complex. A first step to design AVs and approach the verification of safety is the identification of hazards. This paper introduces a description of urban driving situations similar to that of accident categorizations used in traffic safety research. Driving situations as well as real accidents from an urban area are described in this format. With the help of Data Matching, the relevant attributes of the accident categories are matched to the driving situations and thus hazards are identified for the respective situations. Additionally, a comparison with the real data can help to rate the hazards.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Identification of hazards in urban driving situations using accident categorizations


    Contributors:
    Krause, S. (author) / Busch, F. (author)


    Publication date :

    2020-10-19


    Size :

    488155 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    IDENTIFICATION OF HAZARDS IN URBAN DRIVING SITUATIONS USING ACCIDENT CATEGORIZATIONS

    Krause, S. / Busch, F. | British Library Conference Proceedings | 2020


    From everyday driving to accident situations

    Lechner,D. / Perrin,C. / INRETS,FR | Automotive engineering | 1993


    From everyday driving to accident situations

    Lechner, D. / Perrin, C. / European Automobile Engineers Cooperation | British Library Conference Proceedings | 1993


    Software Error Incident Categorizations in Aerospace

    Prokop, Lorraine E. | AIAA | 2024

    Free access

    Early detection of hazards in driving situations through multi-sensor fusion

    Catala-Prat, Alvaro / Reulke, Ralf / Köster, Frank | Tema Archive | 2008