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Georg Schildbach
Observed names:
G. Schildbach,
Schildbach, Georg
Institution:
University of Lübeck
Observed institutions:
ETH Zurich,
Fraunhofer-Einrichtung für Individualisierte Medizintechnik,
Automatic Control Laboratory,
University of Lübeck,
University of California, Berkeley
ORCID:
0000-0002-8319-8854
Observed ORCID:
0000-0002-8319-8854
OpenAlex ID:
A5089302816
Kinematic and dynamic vehicle models for autonomous driving control design
2015
·
Jason Kong
, Mark Pfeiffer
, et al.
·
IEEE Intelligent Vehicles Symposium
·
827
Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems
2014
·
Julius Pfrommer
, Joseph Warrington
, et al.
·
IEEE Transactions on Intelligent Transportation Systems
·
347
PDF
The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations
2014
·
Georg Schildbach
, Lorenzo Fagiano
, et al.
·
Automatica
·
289
PDF
Automated driving: The role of forecasts and uncertainty—A control perspective
2015
·
Ashwin Carvalho
, Stéphanie Lefévre
, et al.
·
European Journal of Control
·
162
PDF
Scenario Model Predictive Control for Lane Change Assistance and Autonomous Driving on Highways
2017
·
Gianluca Cesari
, Georg Schildbach
, et al.
·
IEEE Intelligent Transportation Systems Magazine
·
132
Scenario-based MPC for energy-efficient building climate control under weather and occupancy uncertainty
2013
·
Xiaojing Zhang
, Georg Schildbach
, et al.
·
European Control Conference (ECC)
·
116
Randomized Solutions to Convex Programs with Multiple Chance Constraints
2013
·
Georg Schildbach
, Lorenzo Fagiano
, et al.
·
SIAM Journal on Optimization
·
113
PDF
Scenario model predictive control for lane change assistance on highways
2015
·
Georg Schildbach
, Francesco Borrelli
·
IEEE Intelligent Vehicles Symposium
·
104
On the design and tuning of linear model predictive control for wind turbines
2015
·
Achin Jain
, Georg Schildbach
, et al.
·
Renewable Energy
·
95
On the sample size of random convex programs with structured dependence on the uncertainty
2015
·
Xiaojing Zhang
, Sergio Grammatico
, et al.
·
Automatica
·
88
Scenario-based model predictive control for multi-echelon supply chain management
2016
·
Georg Schildbach
, Manfred Morari
·
European Journal of Operational Research
·
62
A collision avoidance system at intersections using Robust Model Predictive Control
2016
·
Georg Schildbach
, Matthias Soppert
, et al.
·
IEEE Intelligent Vehicles Symposium
·
49
Randomized Model Predictive Control for stochastic linear systems
2012
·
G. Schildbach
, G. C. Calafiore
, et al.
·
Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
·
45
On the sample size of randomized MPC for chance-constrained systems with application to building climate control
2014
·
Xiaojing Zhang
, Sergio Grammatico
, et al.
·
European Control Conference (ECC)
·
42
LiDAR‐based automated UAV inspection of wind turbine rotor blades
2024
·
Carlos Castelar Wembers
, Jasper Pflughaupt
, et al.
·
Journal of Field Robotics
·
38
PDF
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
2022
·
Honghu Xue
, Benedikt Hein
, et al.
·
Applied Sciences
·
31
PDF
A path planner for autonomous driving on highways using a human mimicry approach with Binary Decision Diagrams
2015
·
Laurene Claussmann
, Ashwin Carvalho
, et al.
·
European Control Conference (ECC)
·
30
B-spline path planner for safe navigation of mobile robots
2021
·
Ngoc Thinh Nguyen
, Lars Schilling
, et al.
·
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
·
28
Stochastic predictive control for lane keeping assistance systems using a linear time-varying model
2015
·
Changchun Liu
, Ashwin Carvalho
, et al.
·
Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
·
28
ROS2SWARM - A ROS 2 Package for Swarm Robot Behaviors
2022
·
Tanja Katharina Kaiser
, Marian Johannes Begemann
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
27
PDF
Deep Drifting: Autonomous Drifting of Arbitrary Trajectories using Deep Reinforcement Learning
2022
·
Fabian Domberg
, Carlos Castelar Wembers
, et al.
·
Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
·
23
Scenario and Adaptive Model Predictive Control of Uncertain Systems
2015
·
Lorenzo Fagiano
, Georg Schildbach
, et al.
·
IFAC-PapersOnLine
·
18
A dynamic programming approach for nonholonomic vehicle maneuvering in tight environments
2016
·
Georg Schildbach
, Francesco Borrelli
·
IEEE Intelligent Vehicles Symposium
·
17
Design of a utility-based lane change decision making algorithm and a motion planning for energy-efficient highway driving
2024
·
Sahar Zeinali
, Michael Fleps-Dezasse
, et al.
·
Control Engineering Practice
·
16
Scenario MPC for linear time-varying systems with individual chance constraints
2015
·
Georg Schildbach
, Manfred Morari
·
Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
·
16
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Works count:
87
Citation count:
2,941
H-index:
21
I10-index:
32
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