%0 Journal Article
%T ADSCENE scenarios data base: focus on accident data support for validation of automated driving functions
%J Transportation research procedia
%D 2023
%A Guyonvarch, L.
%A Hermitte, T.
%A Kroger, R.
%A Chauvel, C.
%A Arnoux, E.
%A Geronimi, S.
%V 72
%N 
%P 9-16
%X 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>
%G en
%I Elsevier Publications
%@ 2352-1465
%U http://dx.doi.org/10.1016/j.trpro.2023.11.316