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Christian Pek
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High-level decision making for safe and reasonable autonomous lane changing using reinforcement learning
B Mirchevska, C Pek, M Werling, M Althoff, J Boedecker
2018 21st International Conference on Intelligent Transportation Systems …, 2018
1392018
Verifying the safety of lane change maneuvers of self-driving vehicles based on formalized traffic rules
C Pek, P Zahn, M Althoff
2017 IEEE Intelligent Vehicles Symposium (IV), 1477-1483, 2017
762017
Computationally efficient fail-safe trajectory planning for self-driving vehicles using convex optimization
C Pek, M Althoff
2018 21st International Conference on Intelligent Transportation Systems …, 2018
592018
Using online verification to prevent autonomous vehicles from causing accidents
C Pek, S Manzinger, M Koschi, M Althoff
Nature Machine Intelligence 2 (9), 518-528, 2020
582020
Set-based prediction of pedestrians in urban environments considering formalized traffic rules
M Koschi, C Pek, M Beikirch, M Althoff
2018 21st international conference on intelligent transportation systems …, 2018
502018
Using reachable sets for trajectory planning of automated vehicles
S Manzinger, C Pek, M Althoff
IEEE Transactions on Intelligent Vehicles 6 (2), 232-248, 2020
392020
Computationally efficient safety falsification of adaptive cruise control systems
M Koschi, C Pek, S Maierhofer, M Althoff
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2879-2886, 2019
362019
Efficient mixed-integer programming for longitudinal and lateral motion planning of autonomous vehicles
C Miller, C Pek, M Althoff
2018 IEEE Intelligent Vehicles Symposium (IV), 1954-1961, 2018
292018
Provably-correct and comfortable adaptive cruise control
M Althoff, S Maierhofer, C Pek
IEEE Transactions on Intelligent Vehicles 6 (1), 159-174, 2020
282020
An online verification framework for motion planning of self-driving vehicles with safety guarantees
C Pek, M Koschi, M Althoff
AAET-Automatisiertes und vernetztes Fahren, 2019
282019
Fail-safe motion planning for online verification of autonomous vehicles using convex optimization
C Pek, M Althoff
IEEE Transactions on Robotics 37 (3), 798-814, 2020
272020
CommonRoad drivability checker: Simplifying the development and validation of motion planning algorithms
C Pek, V Rusinov, S Manzinger, MC Üste, M Althoff
2020 IEEE intelligent vehicles symposium (IV), 1013-1020, 2020
212020
Efficient computation of invariably safe states for motion planning of self-driving vehicles
C Pek, M Althoff
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
212018
Physical activity is unrelated to cognitive performance in pre-bariatric surgery patients
S Langenberg, M Schulze, M Bartsch, K Gruner-Labitzke, C Pek, H Köhler, ...
Journal of psychosomatic research 79 (2), 165-170, 2015
192015
Risk-aware motion planning for autonomous vehicles with safety specifications
T Nyberg, C Pek, L Dal Col, C Norén, J Tumova
2021 IEEE Intelligent Vehicles Symposium (IV), 1016-1023, 2021
152021
Efficient trajectory optimization for vehicles using quadratic programming
B Gutjahr, C Pek, L Gröll, M Werling
Automatisierungstechnik 64 (10), 786-794, 2016
13*2016
Encoding human driving styles in motion planning for autonomous vehicles
J Karlsson, S van Waveren, C Pek, I Torre, I Leite, J Tumova
2021 IEEE International Conference on Robotics and Automation (ICRA), 1050-1056, 2021
102021
Enhancing motion safety by identifying safety-critical passageways
C Pek, M Koschi, M Werling, M Althoff
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 320-326, 2017
92017
Ensuring motion safety of autonomous vehicles through online fail-safe verification
C Pek, M Althoff
Robotics: Science and Systems--Pioneers Workshop, 2019
72019
Correct Me If I’m Wrong: Using Non-Experts to Repair Reinforcement Learning Policies
S van Waveren, C Pek, J Tumova, I Leite
Proc. of the ACM/IEEE Int. Conf. on Human-Robot Interaction, 2022
52022
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Artiklar 1–20