Publications (8)
Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving
Tobias Kessler, Julian Bernhard, Martin Buechel +7
Although many research vehicle platforms for autonomous driving have been built in the past, hardware design, source code and lessons learned have not been made available for the n…
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…
The Search for Squawk: Agile Modeling in Bioacoustics
Vincent Dumoulin, Otilia Stretcu, Jenny Hamer +16
Passive acoustic monitoring (PAM) has shown great promise in helping ecologists understand the health of animal populations and ecosystems. However, extracting insights from millio…
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…
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…