KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

dc.contributor.author	Hanselmann, Niklas
dc.contributor.author	Chitta, Kashyap
dc.contributor.author	Geiger, Andreas
dc.date.accessioned	2023-05-26T09:18:54Z
dc.date.available	2023-05-26T09:18:54Z
dc.date.issued	2022-04-28
dc.identifier.uri	http://hdl.handle.net/10900/141447
dc.language.iso	en	de_DE
dc.publisher	arXiv	de_DE
dc.relation.uri	https://doi.org/10.48550/arXiv.2204.13683	de_DE
dc.subject.ddc	004	de_DE
dc.title	KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients	de_DE
dc.type	Preprint	de_DE
utue.personen.roh	Hanselmann, Niklas
utue.personen.roh	Renz, Katrin
utue.personen.roh	Chitta, Kashyap
utue.personen.roh	Bhattacharyya, Apratim
utue.personen.roh	Geiger, Andreas