The progress of safety technologies, based on the continuous advances in vehicle crash worthiness, restraint systems and active safety functions made traffic safer than ever before. Latest developments heading from assisted (ADAS) to Automated Driving (AD), lead to more and more complex real-world situations to be handled, going from standard driving tasks up to critical situations, which may cause a collision. Therefore, throughout the development process of such systems, it becomes common to use simulation technologies in order to assess these systems in advance. To gain results out of the simulation, input data is required; typically, from various sources, so the requirements can be covered. Thus, the challenge of scoping with different input sources arises.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    How to Link Accident Data and Road Traffic Measurements to Enable ADAS/AS Simulation?


    Beteiligte:

    Kongress:

    2019


    Erscheinungsdatum :

    2019


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    ADAS METHOD FOR ESTIMATING TRAFFIC DENSITY USING ADAS PROBE DATA

    KIM HYUNGJOO / SEO YOUNGHOON / LIM DONGHYUN | Europäisches Patentamt | 2022

    Freier Zugriff

    ADAS CONTROL SERVER FOR ESTIMATING TRAFFIC DENSITY USING ADAS PROBE DATA

    KIM HYUNGJOO / SEO YOUNGHOON / LIM DONGHYUN | Europäisches Patentamt | 2021

    Freier Zugriff

    Enhancing Road Safety: Predictive Modeling of Accident-Prone Zones with ADAS-Equipped Vehicle Fleet Data

    Mishra, Ravi Shankar / Thakur, Dev Singh / Subramanian, Anbumani et al. | IEEE | 2024


    AEB Simulation Method Based on Vehicle Test Data for Accident Analysis of ADAS Vehicles

    Kim, Jong Hyuk / Lee, Jae Hyeong / Choi, Ji Hun et al. | Springer Verlag | 2024


    Road Traffic Accident Trauma

    MacInnis, E. / Royal Australasian College of Dental Surgeons | British Library Conference Proceedings | 1998