Techniques for analyzing driving scenarios are discussed herein. For example, techniques may include determining a level of exposure associated with scenarios, searching for similar scenarios, and generating new additional scenarios. A driving scenario may be represented as top-down multi-channel data. The top-down multi-channel data may be provided as input to a neural network trained to output a prediction of future events. A multi-dimensional vector representing the scenario can be received as an intermediate output from the neural network and may be stored to represent the scenario. Multi-dimensional vectors representing different scenarios may be stored in a multi-dimensional space, and similar scenarios may be identified by proximity searching of the multi-dimensional space.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Top-down scenario exposure modeling


    Beteiligte:

    Erscheinungsdatum :

    2024-02-27


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



    A Scenario-Based Approach to Assess Exposure for ASIL Determination

    Czerny, Barbara J. / Runyon, Michael / Suchala, Robert | SAE Technical Papers | 2014


    Behavioural Modeling for Scenario-based Testing in Aviation

    Gupta, Siddhartha / Durak, Umut | TIBKAT | 2023


    Road Pavement Information Modeling through Maintenance Scenario Evaluation

    C. Oreto / S. A. Biancardo / N. Viscione et al. | DOAJ | 2021

    Freier Zugriff

    Qualitative Modeling of Vehicle Behavior for Scenario Parsing

    Haipeng Zheng, / Hao Zhang, / Huadong Meng, et al. | IEEE | 2006


    Scenario-Based Function Modeling Approach for Civil Aircraft Systems

    Xu, Huang / Yong, Chen / Meng, Zhao | Springer Verlag | 2022