Robust Planning and Control using Probabilistic Methods (AUTOtech.agil)
Third Party Funds Group - Sub project
Acronym:
AUTOtech.agil
Start date :
01.10.2022
End date :
30.09.2025
Enhancing system self-awareness and trust of AI: A case study in trajectory prediction and planning (2025)
Ullrich L, Mujirishvili Z, Graichen K
Conference contribution
A Concept for Efficient Scalability of Automated Driving Allowing for Technical, Legal, Cultural, and Ethical Differences (2025)
Ullrich L, Buchholz M, Petit J, Dietmayer K, Graichen K
Conference contribution, Conference Contribution
Expanding the Classical V-Model for the Development of Complex Systems Incorporating AI (2024)
Ullrich L, Buchholz M, Dietmayer K, Graichen K
Journal article
Transfer learning study of motion transformer based trajectory predictions (2024)
Ullrich L, McMaster A, Graichen K
Conference contribution, Conference Contribution
Sampling for model predictive trajectory planning in autonomous driving using normalizing flows (2024)
Rabenstein G, Ullrich L, Graichen K
Conference contribution, Conference Contribution
AI safety assurance for automated vehicles: A survey on research, standardization, regulation (2024)
Ullrich L, Buchholz M, Dietmayer K, Graichen K
Journal article
Robust meta-learning of vehicle yaw rate dynamics via conditional neural processes (2023)
Ullrich L, Völz A, Graichen K
Conference contribution, Conference Contribution