2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2022★ 2 cited
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
Niklas Hanselmann, Katrin Renz, Kashyap Chitta +2
Simulators offer the possibility of safe, low-cost development of self-driving systems. However, current driving simulators exhibit naïve behavior models for background traffic. Ha…
cs.CV2021
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation
Niklas Hanselmann, Nick Schneider, Benedikt Ortelt +1
In order to handle the challenges of autonomous driving, deep learning has proven to be crucial in tackling increasingly complex tasks, such as 3D detection or instance segmentatio…