受强制性开放获取政策约束的文章 - Georg Schildbach了解详情
无法在其他位置公开访问的文章：2 篇
Scenario Model Predictive Control for lane change assistance and autonomous driving on highways
G Cesari, G Schildbach, A Carvalho, F Borrelli
IEEE Intelligent transportation systems magazine 9 (3), 23-35, 2017
强制性开放获取政策： US National Science Foundation
Scenario-based decision-making, planning and control for interaction-aware autonomous driving on highways
R Kensbock, M Nezami, G Schildbach
2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023
强制性开放获取政策： German Research Foundation
可在其他位置公开访问的文章：8 篇
Using deep reinforcement learning with automatic curriculum learning for mapless navigation in intralogistics
H Xue, B Hein, M Bakr, G Schildbach, B Abel, E Rueckert
Applied Sciences 12 (6), 3153, 2022
强制性开放获取政策： German Research Foundation
Deep drifting: autonomous drifting of arbitrary trajectories using Deep Reinforcement Learning
F Domberg, CC Wembers, H Patel, G Schildbach
2022 International Conference on Robotics and Automation (ICRA), 7753-7759, 2022
强制性开放获取政策： Federal Ministry of Education and Research, Germany
On the design of Nonlinear MPC and LPVMPC for obstacle avoidance in autonomous driving
M Nezami, DS Karachalios, G Schildbach, HS Abbas
arXiv preprint arXiv:2307.06031, 2023
强制性开放获取政策： German Research Foundation
A safe control architecture based on a Model Predictive Control Supervisor for autonomous driving
M Nezami, G Männel, HS Abbas, G Schildbach
European Control Conference (ECC), 2021, Rotterdam, The Netherlands, 1297-1302, 2021
强制性开放获取政策： German Research Foundation
A safe control architecture based on robust model predictive control for autonomous driving
M Nezami, NT Nguyen, G Männel, HS Abbas, G Schildbach
2022 American Control Conference (ACC), 914-919, 2022
强制性开放获取政策： German Research Foundation
Robust tube-based LPV-MPC for autonomous lane keeping
M Nezami, HS Abbas, NT Nguyen, G Schildbach
IFAC-PapersOnLine 55 (35), 103-108, 2022
强制性开放获取政策： German Research Foundation
Mixed Integer Model Predictive Control for a free-floating platform with binary and continuous actuation
F Stark, S Vyas, G Schildbach, F Kirchner
7th CEAS Conference on Guidance, Navigation, and Control,(EuroGNC), 2024
强制性开放获取政策： European Commission
Experimental Evaluation of Deep Neural Networks for Vehicle Model Identification
A Moualhi, M Nezami, S Mulhem, G Schildbach
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
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