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Validation of EDR Data for the Purpose of the Forensic Expertise

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F22%3A00358422" target="_blank" >RIV/68407700:21260/22:00358422 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SCSP54748.2022.9792543" target="_blank" >http://dx.doi.org/10.1109/SCSP54748.2022.9792543</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SCSP54748.2022.9792543" target="_blank" >10.1109/SCSP54748.2022.9792543</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Validation of EDR Data for the Purpose of the Forensic Expertise

  • Original language description

    The contribution presents selected results of impact tests, based on which a comparison was made between data obtained from the EDR (Event Data Recorder) and data from an independent measuring device. The collection of data was carried out during crash tests from the years 2019 to 2020. The extraction of data recorded from different vehicle sensors was carried out using the CDR (Crash Data Retrieval) system. The aim of this paper is to focus on validating the functionality and usability of the CDR system and its outputs for forensic practice. This knowledge can help to gain significant pre-crash and post-crash information, the validity of which was verified in the presented tests by comparison with a reference independent measurement system. The comparison discussed post-crash car body acceleration, steering wheel angle, yaw rate and evaluation of pre-crash motion (e.g. driver steering intervention). The paper presents extended possibilities for accident analysis using obtained pre-collision data that were not used in the past.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20104 - Transport engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2022 Smart City Symposium Prague

  • ISBN

    978-1-6654-7923-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Piscataway

  • Event location

    Prague

  • Event date

    May 26, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000850179000007