King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients

N Hanselmann, K Renz, K Chitta… - … on Computer Vision, 2022 - Springer
Simulators offer the possibility of safe, low-cost development of self-driving systems.
However, current driving simulators exhibit naïve behavior models for background traffic …
被引用次数：64 相关文章

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

N Hanselmann, K Renz, K Chitta… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Simulators offer the possibility of safe, low-cost development of self-driving systems.
However, current driving simulators exhibit naïve behavior models for background traffic …

[引用][C] KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

N Hanselmann, K Renz, K Chitta, A Bhattacharyya… - 2022 - ub01.uni-tuebingen.de
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients …

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

N Hanselmann, K Renz, K Chitta… - arXiv preprint arXiv …, 2022 - arxiv.org
Simulators offer the possibility of safe, low-cost development of self-driving systems.
However, current driving simulators exhibit na\" ive behavior models for background traffic …

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

N Hanselmann, K Renz, K Chitta, A Bhattacharyya… - cvlibs.net
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics
Gradients Page 1 Max Planck Institute for Intelligent Systems – Autonomous Vision Group KING …

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

N Hanselmann, K Renz, K Chitta… - … on Computer Vision, 2022 - dl.acm.org
Simulators offer the possibility of safe, low-cost development of self-driving systems.
However, current driving simulators exhibit naïve behavior models for background traffic …
[PDF] github.io

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

N Hanselmann, K Renz, K Chitta, A Bhattacharyya… - ml4ad.github.io
Simulators offer the possibility of scalable development of self-driving systems. However,
current driving simulators exhibit naïve behavior models for background traffic. Hand-tuned …

[引用][C] KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

N Hanselmann, K Renz, K Chitta, A Bhattacharyya… - 2022 - tobias-lib.ub.uni-tuebingen.de
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients …
[PDF] researchgate.net

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

N Hanselmann, K Renz, K Chitta… - arXiv preprint arXiv …, 2022 - researchgate.net
Simulators offer the possibility of safe, low-cost development of selfdriving systems.
However, current driving simulators exhibit naıve behavior models for background traffic …