One core challenge in the development of automated vehicles is their capability to deal with a multitude of complex traffic scenarios with many, hard to predict traffic participants. As part of the iterative development process, it is necessary to detect critical scenarios and generate knowledge from them to improve the highly automated driving (HAD) function. In order to tackle this challenge, numerous datasets have been released in the past years, which act as the basis for the development and testing of such algorithms. Nevertheless, the remaining challenges are to find relevant scenes, such as safety-critical corner cases, in these datasets and to understand them completely.

    Therefore, this paper presents a methodology to process and analyze naturalistic motion datasets in two ways: on the one hand, our approach maps scenes of the datasets to a generic semantic scene graph which allows for a high-level and objective analysis. Here, arbitrary criticality measures, e.g. TTC, RSS or SFF, can be set to automatically detect critical scenarios between traffic participants. On the other hand, the scenarios are recreated in a realistic virtual reality (VR) environment, which allows for a subjective close-up analysis from multiple, interactive perspectives.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Reliving the Dataset: Combining the Visualization of Road Users’ Interactions with Scenario Reconstruction in Virtual Reality


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:

    Conference:

    International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021



    Publication date :

    2022-06-01


    Size :

    19 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Reliving method and system for urban rail route protection

    ZHANG DATAO / DOU WENWEN / TAN XUEQIAN | European Patent Office | 2015

    Free access

    Improving geometric road design through a virtual reality visualization technique

    Leonardo Scalco / Fabiane Bordin / Eniuce Menezes de Souza et al. | DOAJ | 2023

    Free access