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ORCIDJulian Bernhard
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2020 – today
- 2024
[c9]Jasper Hoffmann, Diego Fernandez Clausen, Julien Brosseit, Julian Bernhard, Klemens Esterle, Moritz Werling, Michael Karg, Joschka Bödecker:
PlanNetX: Learning an efficient neural network planner from MPC for longitudinal control. L4DC 2024: 1214-1227- [i9]Jasper Hoffmann, Diego Fernandez Clausen, Julien Brosseit, Julian Bernhard, Klemens Esterle, Moritz Werling, Michael Karg, Joschka Boedecker:
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control. CoRR abs/2404.18863 (2024) - 2023
- [b1]Julian Bernhard:
Risk-Constrained Interactive Planning for Balancing Safety and Efficiency of Autonomous Vehicles (Risikobeschränkte Interaktive Planung zur Abwägung von Sicherheit und Effizienz autonomer Fahrzeuge). Technical University of Munich, Germany, 2023 - 2022
- [c8]Julian Bernhard, Patrick Hart, Amit Sahu, Christoph Schöller, Michell Guzman Cancimance:
Risk-Based Safety Envelopes for Autonomous Vehicles Under Perception Uncertainty. IV 2022: 104-111 - [i8]Klemens Esterle, Patrick Hart, Julian Bernhard, Alois C. Knoll:
Spatiotemporal motion planning with combinatorial reasoning for autonomous driving. CoRR abs/2207.04418 (2022) - 2021
- [c7]Julian Bernhard, Alois C. Knoll:
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving. IV 2021: 63-70 - [i7]Julian Bernhard, Alois C. Knoll:
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving. CoRR abs/2102.03053 (2021) - [i6]Julian Bernhard, Stefan Pollok, Alois C. Knoll:
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning. CoRR abs/2102.03119 (2021) - [i5]Julian Bernhard, Robert Gieselmann, Klemens Esterle, Alois C. Knoll:
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning. CoRR abs/2102.03127 (2021) - [i4]Julian Bernhard, Patrick Hart, Amit Sahu, Christoph Schöller, Michell Guzman Cancimance:
Risk-Based Safety Envelopes for Autonomous Vehicles Under Perception Uncertainty. CoRR abs/2107.09918 (2021) - 2020
- [c6]Julian Bernhard, Klemens Esterle, Patrick Hart, Tobias Kessler:
BARK: Open Behavior Benchmarking in Multi-Agent Environments. IROS 2020: 6201-6208 - [i3]Julian Bernhard, Klemens Esterle, Patrick Hart, Tobias Kessler:
BARK: Open Behavior Benchmarking in Multi-Agent Environments. CoRR abs/2003.02604 (2020) - [i2]Julian Bernhard, Alois C. Knoll:
Robust Stochastic Bayesian Games for Behavior Space Coverage. CoRR abs/2003.11281 (2020)
2010 – 2019
- 2019
- [c5]Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll
:
Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving. IV 2019: 1612-1619 - [c4]Julian Bernhard, Stefan Pollok, Alois C. Knoll:
Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning. IV 2019: 2148-2155 - [c3]Constantin Hubmann, Nils Quetschlich, Jens Schulz, Julian Bernhard, Daniel Althoff, Christoph Stiller:
A POMDP Maneuver Planner For Occlusions in Urban Scenarios. IV 2019: 2172-2179 - [i1]Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll:
Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving. CoRR abs/1905.02980 (2019) - 2018
- [c2]Klemens Esterle, Patrick Hart, Julian Bernhard, Alois C. Knoll:
Spatiotemporal Motion Planning with Combinatorial Reasoning for Autonomous Driving. ITSC 2018: 1053-1060 - [c1]Julian Bernhard, Robert Gieselmann, Klemens Esterle, Alois C. Knoll:
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning. ITSC 2018: 3175-3182
Coauthor Index
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