Julian Bernhard

According to our database, Julian Bernhard authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PlanNetX: Learning an efficient neural network planner from MPC for longitudinal control.

Jasper Hoffmann, Diego Fernandez Clausen, Julien Brosseit, Julian Bernhard, Klemens Esterle, Moritz Werling, Michael Karg, Joschka Bödecker

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

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

PhD thesis, 2023

2022

Risk-Based Safety Envelopes for Autonomous Vehicles Under Perception Uncertainty.

Julian Bernhard, Patrick Hart, Amit Sahu, Christoph Schöller, Michell Guzman Cancimance

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving.

Julian Bernhard, Alois C. Knoll

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020

Robust Stochastic Bayesian Games for Behavior Space Coverage.

Julian Bernhard, Alois C. Knoll

CoRR, 2020

BARK: Open Behavior Benchmarking in Multi-Agent Environments.

Julian Bernhard, Klemens Esterle, Patrick Hart, Tobias Kessler

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving.

Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A POMDP Maneuver Planner For Occlusions in Urban Scenarios.

Constantin Hubmann, Nils Quetschlich, Jens Schulz, Julian Bernhard, Daniel Althoff, Christoph Stiller

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning.

Julian Bernhard, Stefan Pollok, Alois C. Knoll

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

Spatiotemporal Motion Planning with Combinatorial Reasoning for Autonomous Driving.

Klemens Esterle, Patrick Hart, Julian Bernhard, Alois C. Knoll

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning.

Julian Bernhard, Robert Gieselmann, Klemens Esterle, Alois C. Knoll

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018