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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
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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
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e-ISSN
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Number of pages
6
Pages from-to
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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