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Maximilian Geisslinger
Maximilian Geisslinger
在 tum.de 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
A deep learning-based radar and camera sensor fusion architecture for object detection
F Nobis, M Geisslinger, M Weber, J Betz, M Lienkamp
2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-7, 2019
2932019
Autonomous driving ethics: From trolley problem to ethics of risk
M Geisslinger, F Poszler, J Betz, C Lütge, M Lienkamp
Philosophy & Technology 34 (4), 1033-1055, 2021
792021
Indy autonomous challenge-autonomous race cars at the handling limits
A Wischnewski, M Geisslinger, J Betz, T Betz, F Fent, A Heilmeier, ...
12th International Munich Chassis Symposium 2021: chassis. tech plus, 163-182, 2022
452022
Scenario understanding and motion prediction for autonomous vehicles—review and comparison
P Karle, M Geisslinger, J Betz, M Lienkamp
IEEE Transactions on Intelligent Transportation Systems 23 (10), 16962-16982, 2022
442022
Tum autonomous motorsport: An autonomous racing software for the indy autonomous challenge
J Betz, T Betz, F Fent, M Geisslinger, A Heilmeier, L Hermansdorfer, ...
Journal of Field Robotics 40 (4), 783-809, 2023
432023
An ethical trajectory planning algorithm for autonomous vehicles
M Geisslinger, F Poszler, M Lienkamp
Nature Machine Intelligence 5 (2), 137-144, 2023
392023
Watch-and-learn-net: Self-supervised online learning for probabilistic vehicle trajectory prediction
M Geisslinger, P Karle, J Betz, M Lienkamp
2021 IEEE international conference on systems, man, and cybernetics (SMC …, 2021
172021
Maximum acceptable risk as criterion for decision-making in autonomous vehicle trajectory planning
M Geisslinger, R Trauth, G Kaljavesi, M Lienkamp
IEEE Open Journal of Intelligent Transportation Systems, 2023
102023
A quasi-steady-state lap time simulation for electrified race cars
A Heilmeier, M Geisslinger, J Betz
2019 Fourteenth International Conference on Ecological Vehicles and …, 2019
102019
EDGAR: An Autonomous Driving Research Platform--From Feature Development to Real-World Application
P Karle, T Betz, M Bosk, F Fent, N Gehrke, M Geisslinger, L Gressenbuch, ...
arXiv preprint arXiv:2309.15492, 2023
72023
Autonomous Driving: Object Detection using Neural Networks for Radar and Camera Sensor Fusion
M Geisslinger
Technical University of Munich, 2019
62019
Learning and adapting behavior of autonomous vehicles through inverse reinforcement learning
R Trauth, M Kaufeld, M Geisslinger, J Betz
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
52023
Applying ethical theories to the decision-making of self-driving vehicles: A systematic review and integration of the literature
F Poszler, M Geisslinger, J Betz, C Lütge
Technology in Society, 102350, 2023
42023
Mixnet: Physics constrained deep neural motion prediction for autonomous racing
P Karle, F Török, M Geisslinger, M Lienkamp
IEEE Access, 2023
32023
AI and Autonomous Driving: Key ethical considerations
F Poszler, M Geisslinger
2
MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing
P Karle, F Török, M Geisslinger, M Lienkamp
arXiv preprint arXiv:2208.01862, 2022
12022
A five-step ethical decision-making model for self-driving vehicles: Which (ethical) theories could guide the process and what values need further investigation?
F Poszler, M Geisslinger, C Lütge
International Conference on Computer Ethics 1 (1), 2023
2023
S2R-DAD: Sim-to-Real Distribution-Aligned Dataset
S Huch, L Scalerandi, E Rivera, M Lienkamp, J Betz, T Betz, F Fent, ...
Journal of Field Robotics, 0
Network Rebalance and Operational Efficiency of Sharing Transportation System: Multi-Objective Optimization and Model Predictive Control Approaches …
WMD Chia, SL Keoh, C Goh, C Johnson, X Dong, MA Garratt, SG Anavatti, ...
Harm Prediction for Risk-Aware Motion Planning of Automated Vehicles
T Geißenberger
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