Julian Bernhard
Julian Bernhard
BMW Group
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A pomdp maneuver planner for occlusions in urban scenarios
C Hubmann, N Quetschlich, J Schulz, J Bernhard, D Althoff, C Stiller
2019 IEEE Intelligent Vehicles Symposium (IV), 2172-2179, 2019
BARK: Open behavior benchmarking in multi-agent environments
J Bernhard, K Esterle, P Hart, T Kessler
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
Addressing inherent uncertainty: Risk-sensitive behavior generation for automated driving using distributional reinforcement learning
J Bernhard, S Pollok, A Knoll
2019 IEEE Intelligent Vehicles Symposium (IV), 2148-2155, 2019
Bridging the gap between open source software and vehicle hardware for autonomous driving
T Kessler, J Bernhard, M Buechel, K Esterle, P Hart, D Malovetz, MT Le, ...
2019 IEEE Intelligent Vehicles Symposium (IV), 1612-1619, 2019
Experience-based heuristic search: Robust motion planning with deep Q-learning
J Bernhard, R Gieselmann, K Esterle, A Knoll
2018 21st international conference on intelligent transportation systems …, 2018
Spatiotemporal motion planning with combinatorial reasoning for autonomous driving
K Esterle, P Hart, J Bernhard, A Knoll
2018 21st International Conference on Intelligent Transportation Systems …, 2018
Risk-based safety envelopes for autonomous vehicles under perception uncertainty
J Bernhard, P Hart, A Sahu, C Schöller, MG Cancimance
2022 IEEE Intelligent Vehicles Symposium (IV), 104-111, 2022
Risk-constrained interactive safety under behavior uncertainty for autonomous driving
J Bernhard, A Knoll
2021 IEEE Intelligent Vehicles Symposium (IV), 63-70, 2021
Robust Stochastic Bayesian Games for Behavior Space Coverage
J Bernhard, A Knoll
RSS 2020 Workshop on Interaction and Decision-Making in Autonomous-Driving, 2020
Time-domain interpolation of head-related transfer functions with correct reproduction of notch frequencies
J Bernhard, G Gomez, BU Seeber
Fortschritte der Akustik--DAGA'15, 1126-1127, 2015
Risk-constrained interactive planning for balancing safety and efficiency of autonomous vehicles
J Bernhard
Technische Universität München, 2022
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control
J Hoffmann, D Fernandez, J Brosseit, J Bernhard, K Esterle, M Werling, ...
arXiv preprint arXiv:2404.18863, 2024
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