Julian Bernhard

19 papers A 1C 5Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control.
CoRR
Jasper Hoffmann, Diego Fernandez Clausen, Julien Brosseit, Julian Bernhard, Klemens Esterle, Moritz Werling, Michael Karg, Joschka Boedecker
2024 — conf
PlanNetX: Learning an efficient neural network planner from MPC for longitudinal control.
L4DC
Jasper Hoffmann, Diego Fernandez Clausen, Julien Brosseit, Julian Bernhard, Klemens Esterle, Moritz Werling, Michael Karg, Joschka Bödecker
2023 — —
Risk-Constrained Interactive Planning for Balancing Safety and Efficiency of Autonomous Vehicles (Risikobeschränkte Interaktive Planung zur Abwägung von Sicherheit und Effizienz autonomer Fahrzeuge)
Julian Bernhard
2022 C conf
Risk-Based Safety Envelopes for Autonomous Vehicles Under Perception Uncertainty.
IV
Julian Bernhard, Patrick Hart, Amit Sahu, Christoph Schöller, Michell Guzman Cancimance
2022 J jnl
Spatiotemporal motion planning with combinatorial reasoning for autonomous driving.
CoRR
Klemens Esterle, Patrick Hart, Julian Bernhard, Alois C. Knoll
2021 J jnl
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning.
CoRR
Julian Bernhard, Stefan Pollok, Alois C. Knoll
2021 J jnl
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning.
CoRR
Julian Bernhard, Robert Gieselmann, Klemens Esterle, Alois C. Knoll
2021 J jnl
Risk-Based Safety Envelopes for Autonomous Vehicles Under Perception Uncertainty.
CoRR
Julian Bernhard, Patrick Hart, Amit Sahu, Christoph Schöller, Michell Guzman Cancimance
2021 C conf
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving.
IV
Julian Bernhard, Alois C. Knoll
2021 J jnl
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving.
CoRR
Julian Bernhard, Alois C. Knoll
2020 A conf
BARK: Open Behavior Benchmarking in Multi-Agent Environments.
IROS
Julian Bernhard, Klemens Esterle, Patrick Hart, Tobias Kessler
2020 J jnl
BARK: Open Behavior Benchmarking in Multi-Agent Environments.
CoRR
Julian Bernhard, Klemens Esterle, Patrick Hart, Tobias Kessler
2020 J jnl
Robust Stochastic Bayesian Games for Behavior Space Coverage.
CoRR
Julian Bernhard, Alois C. Knoll
2019 C conf
A POMDP Maneuver Planner For Occlusions in Urban Scenarios.
IV
Constantin Hubmann, Nils Quetschlich, Jens Schulz, Julian Bernhard, Daniel Althoff, Christoph Stiller
2019 C conf
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning.
IV
Julian Bernhard, Stefan Pollok, Alois C. Knoll
2019 C conf
Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving.
IV
Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll
2019 J jnl
Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving.
CoRR
Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll
2018 — conf
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning.
ITSC
Julian Bernhard, Robert Gieselmann, Klemens Esterle, Alois C. Knoll
2018 — conf
Spatiotemporal Motion Planning with Combinatorial Reasoning for Autonomous Driving.
ITSC
Klemens Esterle, Patrick Hart, Julian Bernhard, Alois C. Knoll