4 citations · 5 across the 7 of their papers we have counts for
3 papers · 1 filter
VertexCBF: Improving Neural Control Barrier Functions via Vertex-Restricted Control Search
Bojan Derajić, Sebastian Bernhard, Wolfgang Hönig
As the number of autonomous robots continues to grow, safety becomes increasingly important. Control barrier functions (CBFs) provide a theoretically grounded framework for ensurin…
Driving the Wrong Way: Leveraging Interpretability in End2End Autonomous Driving Models
Franz Motzkus, Sebastian Bernhard
The increasing adoption of end-to-end learning for autonomous driving introduces increased model complexity and opacity, raising the risk of learning undesired or erroneous behavio…
CN-CBF: Composite Neural Control Barrier Function for Robot Navigation in Dynamic Environments
Bojan Derajić, Sebastian Bernhard, Wolfgang Hönig
Safe navigation of autonomous robots remains one of the core challenges in the field, especially in dynamic and uncertain environments. One prevalent approach is safety filtering b…