A method for autonomous driving includes receiving vehicle data regarding an autonomous vehicle, creating a multi-domain ontology data structure using the vehicle data. The multi-domain ontology data structure includes information about tasks, objects, missions, events, and responses of the autonomous vehicle in a plurality of operational design domains. The method further includes generating cases, requirements, and test cases for the autonomous vehicle based on the multi-domain ontology data structure. The method may include controlling the autonomous vehicle according to a use case generated using the multi-domain ontology data structure.

    用于自动驾驶的方法包括接收关于自动驾驶车辆的车辆数据、使用车辆数据创建多域本体数据结构。该多域本体数据结构包括关于自动驾驶车辆在多个操作设计域中的任务、对象、使命、事件和响应的信息。该方法还包括基于多域本体数据结构生成自动驾驶车辆的用例、需求和测试用例。该方法可以包括根据使用多域本体数据结构生成的用例来控制自动驾驶车辆。


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    Titel :

    Strict development and analysis of automated driving requirements and test cases using multi-domain ontologies


    Weitere Titelangaben:

    使用多域本体严格开发和分析自动驾驶需求和测试用例


    Beteiligte:

    Erscheinungsdatum :

    07.03.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



    RIGOROUS DEVELOPMENT AND ANALYSYS OF AUTONOMOUS DRIVING REQUIREMENTS AND TEST CASES USING MULTI-DOMAIN ONTOLOGIES

    SETHU RAMESH / DEBOUK RAMI ISMAIL / D'AMBROSIO JOSEPH | Europäisches Patentamt | 2025

    Freier Zugriff

    Identification of Test Cases for Automated Driving Systems Using Bayesian Optimization

    Gangopadhyay, Briti / Khastgir, Siddartha / Dey, Sumanta et al. | IEEE | 2019



    Ontologies used in robotics: A survey with an outlook for automated driving

    Brunner, Stefan / Kucera, Markus / Waas, Thomas | IEEE | 2017