This study presents a new virtual evaluation approach of preventive safety applications and advanced driver assistance functions. The approach identifies the worst‐case scenarios for a given advanced driver assistance function, AEB system in this study, based on field operational tests (FOT) [safety pilot model deployment (SPMD), in this study]. The authors begin with a description of the studied AEB system and a synthesis of the most relevant tests scenarios. Then, they model the distribution of each test parameter retrieved from the SPMD database by applying two estimation methods (kernel method and expectation‐maximisation algorithm). A comparison was made between the two methods to choose the best one. These distributions are then sampled using the proposed sampling strategy based on Metropolis‐Hastings algorithm. Then, the idea is to take the samples of each parameter retrieved with this sampler, simulate them on a vehicular software simulator (PreScan) and to get their simulation results. For each test and in case of impact, a proportional score to the speed of impact reduction is attributed. Finally, a risk classification is done based on the scoring results which allows to recover high and very high‐risk cases to build a set of worst‐case scenarios.


    Access

    Download


    Export, share and cite



    Title :

    Proposal of a new virtual evaluation approach of preventive safety applications and advanced driver assistance functions – application: AEB system


    Contributors:

    Published in:

    Publication date :

    2018-11-01


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Driver perceptions of advanced driver assistance systems and safety

    Page, Sophie Le / Millar, Jason / Bronson, Kelly et al. | ArXiv | 2019

    Free access

    Advanced driver assistance system

    CHA KYOUNG HWAN / LIM JONG HOON | European Patent Office | 2017

    Free access

    Advanced driver-assistance system

    MELVIN IAIN / COSATTO ERIC / DURDANOVIC IGOR et al. | European Patent Office | 2019

    Free access

    ADVANCED DRIVER ASSISTANCE SYSTEM

    GESCH MATTHEW / KURUMISAWA JIN / KIMURA TAKAYUKI | European Patent Office | 2018

    Free access