Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
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
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
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Proceedings of the IUTAM symposium on optimal guidance and control for autonomous systems 2023
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
Neural network full-body human predictive models and their use for coordinated robot motion planning
Machine learning approaches for detection of robot errors in human brain signals
Machine learning and optimization techniques for automotive cyber-physical systems
Learning motion skills for a humanoid robot
Learning Driver Behavior Models for Predicting Urban Traffic Situations
Learning continuous human-robot interactions from human-human demonstrations
Latent State-Space Models for Control
Instance segmentation and 3D multi-object tracking for autonomous driving
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Fully bayesian vehicle tracking using extended object models
Fully bayesian vehicle tracking using extended object models
Failure Prediction for Autonomous Systems
Environment modeling for automated driving using grid-based and object-based representations
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Criticality labeling via optimal control and machine learning in automotive active safety