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ORCIDGeorg Schildbach
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2020 – today
- 2024
[j10]Carlos Castelar Wembers
, Jasper Pflughaupt, Ludmila Moshagen, Michael Kurenkov, Tim Lewejohann, Georg Schildbach:
LiDAR-based automated UAV inspection of wind turbine rotor blades. J. Field Robotics 41(4): 1116-1132 (2024)- [c29]Maryam Nezami, Ngoc Thinh Nguyen, Georg Schildbach:
Global Trajectory Optimization for Autonomous Driving using Nonlinear Programming with Topology Classes. CASE 2024: 2237-2242 - [c28]Amira Moualhi, Maryam Nezami, Saleh Mulhem, Georg Schildbach:
Experimental Evaluation of Deep Neural Networks for Vehicle Model Identification. ECC 2024: 2526-2533 - [c27]Xiaorong Zhang, Sahar Zeinali, Georg Schildbach:
Interaction-Aware Traffic Prediction and Scenario-Based Model Predictive Control for Autonomous Vehicles on Highways. ECC 2024: 3351-3357 - [i12]Maryam Nezami, Dimitrios S. Karachalios, Georg Schildbach, Hossam S. Abbas:
Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region. CoRR abs/2405.02030 (2024) - [i11]Tanja Katharina Kaiser, Marian Johannes Begemann, Tavia Plattenteich, Lars Schilling, Georg Schildbach, Heiko Hamann:
ROS2swarm - A ROS 2 Package for Swarm Robot Behaviors. CoRR abs/2405.02438 (2024) - [i10]Mirko Conrad, Georg Schildbach:
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner. CoRR abs/2407.21569 (2024) - 2023
- [j9]Ngoc Thinh Nguyen, Pranav Tej Gangavarapu, Niklas Fin Kompe, Georg Schildbach, Floris Ernst:
Navigation with Polytopes: A Toolbox for Optimal Path Planning with Polytope Maps and B-spline Curves. Sensors 23(7): 3532 (2023) - [c26]Maryam Nezami, Dimitrios S. Karachalios, Georg Schildbach, Hossam S. Abbas:
On the Design of Nonlinear MPC and LPVMPC for Obstacle Avoidance in Autonomous Driving*. CoDIT 2023: 1-6 - [c25]Toni Lubiniecki, Georg Schildbach:
Adaptive MPC for trajectory tracking with online adaption of the vehicle model's yaw intensification. ECC 2023: 1-6 - [c24]Ngoc Thinh Nguyen, Pranav Tej Gangavarapu, Arne Sahrhage, Georg Schildbach, Floris Ernst:
Navigation with polytopes and B-spline path planner. ICRA 2023: 5695-5701 - [c23]Toni Lubiniecki, Georg Schildbach:
Trajectory Tracking MPC with Online Model Adaptation Using Gaussian Process Regression and Clustering. ITSC 2023: 154-159 - [c22]Robin Kensbock, Maryam Nezami, Georg Schildbach:
Scenario-Based Decision-Making, Planning and Control for Interaction-Aware Autonomous Driving on Highways. IV 2023: 1-6 - [c21]Georg Schildbach:
A Continuous Collision Detection Algorithm for Dubins Paths. IV 2023: 1-6 - [i9]Maryam Nezami, Dimitrios S. Karachalios, Georg Schildbach, Hossam S. Abbas:
On the Design of Nonlinear MPC and LPVMPC for Obstacle Avoidance in Autonomous Driving. CoRR abs/2307.06031 (2023) - [i8]Xiaorong Zhang, Sahar Zeinali, Georg Schildbach:
Interaction-aware Traffic Prediction and Scenario-based Model Predictive Control for Autonomous Vehicles on Highways. CoRR abs/2310.07526 (2023) - [i7]Franek Stark, Shubham Vyas, Georg Schildbach, Frank Kirchner:
Linear Model Predictive Control for a planar free-floating platform: A comparison of binary input constraint formulations. CoRR abs/2312.10788 (2023) - 2022
- [c20]Maryam Nezami, Ngoc Thinh Nguyen, Georg Männel, Hossam Seddik Abbas, Georg Schildbach:
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving. ACC 2022: 914-919 - [c19]Tanja Katharina Kaiser, Marian Johannes Begemann, Tavia Plattenteich, Lars Schilling, Georg Schildbach, Heiko Hamann:
ROS2SWARM - A ROS 2 Package for Swarm Robot Behaviors. ICRA 2022: 6875-6881 - [c18]Fabian Domberg, Carlos Castelar Wembers, Hiren Patel, Georg Schildbach:
Deep Drifting: Autonomous Drifting of Arbitrary Trajectories using Deep Reinforcement Learning. ICRA 2022: 7753-7759 - [c17]Daniel Henning, Georg Schildbach:
A Continuous Collision Checking Method for Non-holonomic Path Planning in Narrow Environments. ICSTCC 2022: 594-600 - [i6]Maryam Nezami, Georg Männel, Hossam Seddik Abbas, Georg Schildbach:
A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving. CoRR abs/2201.13298 (2022) - [i5]Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel, Elmar Rueckert:
Using Deep Reinforcement Learning with Automatic Curriculum earning for Mapless Navigation in Intralogistics. CoRR abs/2202.11512 (2022) - [i4]Maryam Nezami, Ngoc Thinh Nguyen, Georg Männel, Hossam Seddik Abbas, Georg Schildbach:
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving. CoRR abs/2206.09735 (2022) - [i3]Maryam Nezami, Hossam Seddik Abbas, Ngoc Thinh Nguyen, Georg Schildbach:
Robust tube-based LPV-MPC for autonomous lane keeping. CoRR abs/2210.02971 (2022) - 2021
- [c16]Maryam Nezami, Georg Männel, Hossam Seddik Abbas, Georg Schildbach:
A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving. ECC 2021: 1297-1302 - [c15]Ngoc Thinh Nguyen, Georg Schildbach:
Tightening polytopic constraint in MPC designs for mobile robot navigation. ICSTCC 2021: 407-412 - [c14]Ngoc Thinh Nguyen, Lars Schilling, Michael Sebastian Angern, Heiko Hamann, Floris Ernst, Georg Schildbach:
B-spline path planner for safe navigation of mobile robots. IROS 2021: 339-345
2010 – 2019
- 2018
- [c13]Georg Schildbach:
On the Application of ISO 26262 in Control Design for Automated Vehicles. SCAV@CPSWeek 2018: 74-82 - 2017
- [j8]Gianluca Cesari, Georg Schildbach, Ashwin Carvalho, Francesco Borrelli:
Scenario Model Predictive Control for Lane Change Assistance and Autonomous Driving on Highways. IEEE Intell. Transp. Syst. Mag. 9(3): 23-35 (2017) - 2016
- [j7]Georg Schildbach, Manfred Morari:
Scenario-based model predictive control for multi-echelon supply chain management. Eur. J. Oper. Res. 252(2): 540-549 (2016) - [c12]Georg Schildbach, Francesco Borrelli:
A dynamic programming approach for nonholonomic vehicle maneuvering in tight environments. Intelligent Vehicles Symposium 2016: 151-156 - [c11]Georg Schildbach, Matthias Soppert, Francesco Borrelli:
A collision avoidance system at intersections using Robust Model Predictive Control. Intelligent Vehicles Symposium 2016: 233-238 - 2015
- [j6]Georg Schildbach, Paul J. Goulart, Manfred Morari:
Linear controller design for chance constrained systems. Autom. 51: 278-284 (2015) - [j5]Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul J. Goulart, John Lygeros:
On the sample size of random convex programs with structured dependence on the uncertainty. Autom. 60: 182-188 (2015) - [j4]Ashwin Carvalho, Stéphanie Lefevre, Georg Schildbach, Jason Kong, Francesco Borrelli:
Automated driving: The role of forecasts and uncertainty - A control perspective. Eur. J. Control 24: 14-32 (2015) - [c10]Georg Schildbach, Manfred Morari:
Scenario MPC for linear time-varying systems with individual chance constraints. ACC 2015: 415-421 - [c9]Changchun Liu, Ashwin Carvalho, Georg Schildbach, J. Karl Hedrick:
Stochastic predictive control for lane keeping assistance systems using a linear time-varying model. ACC 2015: 3355-3360 - [c8]Laurene Claussmann, Ashwin Carvalho, Georg Schildbach:
A path planner for autonomous driving on highways using a human mimicry approach with Binary Decision Diagrams. ECC 2015: 2976-2982 - [c7]Georg Schildbach, Francesco Borrelli:
Scenario model predictive control for lane change assistance on highways. Intelligent Vehicles Symposium 2015: 611-616 - [c6]Jason Kong, Mark Pfeiffer, Georg Schildbach, Francesco Borrelli:
Kinematic and dynamic vehicle models for autonomous driving control design. Intelligent Vehicles Symposium 2015: 1094-1099 - [c5]Thierry Wyder, Georg Schildbach, Stéphanie Lefevre, Francesco Borrelli:
A Bayesian filter for modeling traffic at stop intersections. Intelligent Vehicles Symposium 2015: 1252-1257 - [i2]Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul Goulart, John Lygeros:
On the Sample Size of Random Convex Programs with Structured Dependence on the Uncertainty. CoRR abs/1502.00803 (2015) - 2014
- [j3]Georg Schildbach, Lorenzo Fagiano, Christoph Frei, Manfred Morari:
The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations. Autom. 50(12): 3009-3018 (2014) - [j2]Julius Pfrommer, Joseph Warrington, Georg Schildbach, Manfred Morari:
Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems. IEEE Trans. Intell. Transp. Syst. 15(4): 1567-1578 (2014) - 2013
- [j1]Georg Schildbach, Lorenzo Fagiano, Manfred Morari:
Randomized Solutions to Convex Programs with Multiple Chance Constraints. SIAM J. Optim. 23(4): 2479-2501 (2013) - [c4]Xiaojing Zhang, Georg Schildbach, David Sturzenegger, Manfred Morari:
Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty. ECC 2013: 1029-1034 - [c3]Georg Schildbach, Paul Goulart, Manfred Morari:
The Linear Quadratic Regulator with chance constraints. ECC 2013: 2746-2751 - [i1]Julius Pfrommer, Joseph Warrington, Georg Schildbach, Manfred Morari:
Dynamic vehicle redistribution and online price incentives in shared mobility systems. CoRR abs/1304.3949 (2013) - 2012
- [c2]Georg Schildbach, Giuseppe Carlo Calafiore, Lorenzo Fagiano, Manfred Morari:
Randomized Model Predictive Control for stochastic linear systems. ACC 2012: 417-422 - 2011
- [c1]Georg Schildbach, Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Input-to-state stabilization of low-complexity model predictive controllers for linear systems. CDC/ECC 2011: 482-488
Coauthor Index
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