| dc.contributor.author | Geiger, Andreas | |
| dc.contributor.author | Lensch, Hendrik P. A. | |
| dc.contributor.author | Hanselmann, Niklas | |
| dc.contributor.author | Doll, Simon | |
| dc.date.accessioned | 2024-11-22T12:04:04Z | |
| dc.date.available | 2024-11-22T12:04:04Z | |
| dc.date.issued | 2024-11-12 | |
| dc.identifier.uri | http://hdl.handle.net/10900/159051 | |
| dc.language.iso | en | de_DE |
| dc.publisher | arXiv | de_DE |
| dc.relation.uri | https://doi.org/10.48550/arXiv.2411.07719 | de_DE |
| dc.subject.ddc | 004 | de_DE |
| dc.title | EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners | de_DE |
| dc.type | Preprint | de_DE |
| utue.personen.roh | Geiger, Andreas | |
| utue.personen.roh | Lensch, Hendrik P.A. | |
| utue.personen.roh | Cordts, Marius | |
| utue.personen.roh | Doll, Simon | |
| utue.personen.roh | Hanselmann, Niklas |
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