33 citations · 127 across the 9 of their papers we have counts for
4 papers · 1 filter
Risk-Based Safety Envelopes for Autonomous Vehicles Under Perception Uncertainty
Julian Bernhard, Patrick Hart, Amit Sahu +2
Ensuring the safety of autonomous vehicles, given the uncertainty in sensing other road users, is an open problem. Moreover, separate safety specifications for perception and plann…
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning
Julian Bernhard, Robert Gieselmann, Klemens Esterle +1
Interaction-aware planning for autonomous driving requires an exploration of a combinatorial solution space when using conventional search- or optimization-based motion planners. W…
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning
Julian Bernhard, Stefan Pollok, Alois Knoll
For highly automated driving above SAE level~3, behavior generation algorithms must reliably consider the inherent uncertainties of the traffic environment, e.g. arising from the v…
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving
Julian Bernhard, Alois Knoll
Balancing safety and efficiency when planning in dense traffic is challenging. Interactive behavior planners incorporate prediction uncertainty and interactivity inherent to these…