Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Uncertainty Calibration and its Application to Object Detection
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Simulation-driven machine learning for robotics and automation
Self-supervised learning of primitive-based robotic manipulation
Self-learning longitudinal control for on-road vehicles
Sampling-based exploration strategies for mobile robot autonomy
Robust and Probabilistic Motion Prediction for Intelligent Infrastructure Systems
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
Point cloud processing for environmental analysis in Autonomous Driving using Deep Learning
Physics-informed regression of implicitly-constrained robot dynamics