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ORCIDRudolf Reiter
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2020 – today
- 2024
[c5]Rudolf Reiter, Katrin Baumgärtner, Rien Quirynen, Moritz Diehl:
Progressive Smoothing for Motion Planning in Real-Time NMPC. ECC 2024: 1816-1823- [i8]Rudolf Reiter, Katrin Baumgärtner, Rien Quirynen, Moritz Diehl:
Progressive Smoothing for Motion Planning in Real-Time NMPC. CoRR abs/2403.01830 (2024) - [i7]Rudolf Reiter, Armin Nurkanovic, Daniele Bernadini, Moritz Diehl, Alberto Bemporad:
A Long-Short-Term Mixed-Integer Formulation for Highway Lane Change Planning. CoRR abs/2405.02979 (2024) - [i6]Rudolf Reiter, Rien Quirynen, Moritz Diehl, Stefano Di Cairano:
Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning. CoRR abs/2405.08122 (2024) - [i5]Rudolf Reiter, Andrea Ghezzi, Katrin Baumgärtner, Jasper Hoffmann, Robert D. McAllister, Moritz Diehl:
AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control. CoRR abs/2406.03995 (2024) - 2023
- [j1]Rudolf Reiter
, Armin Nurkanovic, Jonathan Frey, Moritz Diehl:
Frenet-Cartesian model representations for automotive obstacle avoidance within nonlinear MPC. Eur. J. Control 74: 100847 (2023) - [c4]Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl:
A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing. ECC 2023: 1-8 - 2022
- [c3]Katrin Baumgärtner, Rudolf Reiter, Moritz Diehl:
Moving Horizon Estimation with Adaptive Regularization for Ill-Posed State and Parameter Estimation Problems. CDC 2022: 2165-2171 - [c2]Rudolf Reiter, Florian Messerer, Markus Schratter, Daniel Watzenig, Moritz Diehl:
An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars. ECC 2022: 146-153 - [i4]Rudolf Reiter, Florian Messerer, Markus Schratter, Daniel Watzenig, Moritz Diehl:
An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars. CoRR abs/2204.01494 (2022) - [i3]Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl:
A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing. CoRR abs/2212.01607 (2022) - [i2]Shamil Mamedov, Rudolf Reiter, Moritz Diehl, Jan Swevers:
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots. CoRR abs/2212.02941 (2022) - [i1]Rudolf Reiter, Armin Nurkanovic, Jonathan Frey, Moritz Diehl:
Frenet-Cartesian Model Representations for Automotive Obstacle Avoidance within Nonlinear MPC. CoRR abs/2212.13115 (2022) - 2021
- [c1]Rudolf Reiter, Moritz Diehl:
Parameterization Approach of the Frenet Transformation for Model Predictive Control of Autonomous Vehicles. ECC 2021: 2414-2419
Coauthor Index
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