KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
2022
Conference Paper
avg
| Author(s): | Hanselmann, Niklas; Renz, Katrin; Chitta, Kashyap; Bhattacharyya, Apratim; Geiger, Andreas |
| Book Title: | Proceedings 17th European Conference on Computer Vision (ECCV) |
| Volume: | 13698 |
| Pages: | 335-352 |
| Year: | 2022 |
| Month: | October |
| Day: | 23-27 |
| Editors: | Avidan, S; Brostow, G; Cisse, M; Farinella, GM; Hassner, T |
| Publisher: | IEEE |
| Department(s): | Autonomous Vision |
| Bibtex Type: | Conference Paper (conference) |
| Paper Type: | Conference |
| DOI: | 10.1007/978-3-031-19839-7_20 |
| Event Name: | ECCV |
| Event Place: | Tel Aviv |
| Digital: | True |
| State: | Published |
|
BibTex @conference{King_Geiger2022,
title = {KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients},
author = {},
booktitle = {Proceedings 17th European Conference on Computer Vision (ECCV)},
volume = {13698},
pages = {335-352},
editors = {Avidan, S; Brostow, G; Cisse, M; Farinella, GM; Hassner, T},
publisher = {IEEE},
month = oct,
year = {2022},
doi = {10.1007/978-3-031-19839-7_20},
month_numeric = {10}
}
|
|
