Learning Driver Behavior Models for Predicting Urban Traffic Situations
Adaptive human-robot policy blending for shared control teleoperation
Proceedings of the IUTAM symposium on optimal guidance and control for autonomous systems 2023
Advances and Challenges in Advanced Unmanned Aerial Systems : Selected Contributions of ICAUAS 2023
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Self-learning longitudinal control for on-road vehicles
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Environment modeling for automated driving using grid-based and object-based representations
Sampling-based exploration strategies for mobile robot autonomy
Advanced Optimal Control and Applications Involving Critic Intelligence
Advanced optimal control and applications involving critic intelligence
Point cloud processing for environmental analysis in Autonomous Driving using Deep Learning
Adaptive and learning-based control of safety-critical systems
Machine learning and optimization techniques for automotive cyber-physical systems
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Uncertainty Calibration and its Application to Object Detection
Instance segmentation and 3D multi-object tracking for autonomous driving
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
Failure Prediction for Autonomous Systems
Robust and Probabilistic Motion Prediction for Intelligent Infrastructure Systems
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Versuchsplanung mittels hybrider Modelle zur Bestimmung von Flugbereichsgrenzen
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien