@article{ref1,
title="ADSCENE scenarios data base: focus on accident data support for validation of automated driving functions",
journal="Transportation research procedia",
year="2023",
author="Guyonvarch, L. and Hermitte, T. and Kroger, R. and Chauvel, C. and Arnoux, E. and Geronimi, S.",
volume="72",
number="",
pages="9-16",
abstract="Automated systems such as SAE AD level 2 and higher, face the difficult challenge of proving safe in the field, in actual traffic conditions. Scenario-based simulation approaches are, therefore, necessary complements to the traditional approach, allowing computation of a controlled diversity of key variables in many iterations in a safe, fast, and documented way. ADSCENE capitalizes scenarios to be considered during the design & validation phases of Advanced Driving Assistance Systems as well as Automated Driving systems into a common data base. Several data sources are used to fill in ADSCENE: near crash data, normal driving data, scenarios defined by experts in AD/S ADAS, scenarios from the regulations. This paper describes how accident data complements the scope of the other sources and the methodology used to extract and code relevant accidents into ADSCENE.<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2023.11.316",
url="http://dx.doi.org/10.1016/j.trpro.2023.11.316"
}