Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Claude_Sauvageau>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Denis_Gingras>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Nacer_Eddine_Chelbi>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1080%2F15472450.2020.1853538>
foaf:homepage	<https://doi.org/10.1080/15472450.2020.1853538>
dc:identifier	DBLP journals/jits/ChelbiGS22 (xsd:string)
dc:identifier	DOI doi.org%2F10.1080%2F15472450.2020.1853538 (xsd:string)
dcterms:issued	2022 (xsd:gYear)
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rdfs:label	Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Claude_Sauvageau>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Denis_Gingras>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Nacer_Eddine_Chelbi>
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swrc:pages	284-310 (xsd:string)
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dc:title	Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions. (xsd:string)
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