Autonomous Vision Conference Paper 2022

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

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
Bibtex Type: Conference Paper (conference)
DOI: 10.1007/978-3-031-19839-7_20
Event Name: ECCV
Event Place: Tel Aviv
State: Published
Digital: True
Electronic Archiving: grant_archive

BibTex

@conference{King_Geiger2022,
  title = {KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients},
  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},
  slug = {king_geiger2022},
  author = {},
  month_numeric = {10}
}