30 citations · 94 across the 7 of their papers we have counts for
7 papers
Spatiotemporal motion planning with combinatorial reasoning for autonomous driving
Klemens Esterle, Patrick Hart, Julian Bernhard +1
Motion planning for urban environments with numerous moving agents can be viewed as a combinatorial problem. With passing an obstacle before, after, right or left, there are multip…
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…
Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments
Patrick Hart, Alois Knoll
Most reinforcement learning approaches used in behavior generation utilize vectorial information as input. However, this requires the network to have a pre-defined input-size -- in…
Lane-Merging Using Policy-based Reinforcement Learning and Post-Optimization
Patrick Hart, Leonard Rychly, Alois Knol
Many current behavior generation methods struggle to handle real-world traffic situations as they do not scale well with complexity. However, behaviors can be learned off-line usin…
Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving
Patrick Hart, Alois Knoll
Learning-based approaches, such as reinforcement and imitation learning are gaining popularity in decision-making for autonomous driving. However, learned policies often fail to ge…
BARK: Open Behavior Benchmarking in Multi-Agent Environments
Julian Bernhard, Klemens Esterle, Patrick Hart +1
Predicting and planning interactive behaviors in complex traffic situations presents a challenging task. Especially in scenarios involving multiple traffic participants that intera…