Validation of EDR Data for the Purpose of the Forensic Expertise
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Validation of EDR Data for the Purpose of the Forensic Expertise
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Validation of EDR Data for the Purpose of the Forensic Expertise
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20104 - Transport engineering
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2022 Smart City Symposium Prague
ISBN
978-1-6654-7923-3
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
—
Název nakladatele
IEEE Signal Processing Society
Místo vydání
Piscataway
Místo konání akce
Prague
Datum konání akce
26. 5. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000850179000007