Absicherung hochautomatisierten Fahrens durch passiven virtuellen Dauerlauftest
Self-supervised learning of primitive-based robotic manipulation
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
A Software Scheme for UAV's Safe Landing Area Discovery
Fully bayesian vehicle tracking using extended object models
Fully bayesian vehicle tracking using extended object models
Uncertainty Calibration and its Application to Object Detection
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
DatEnKoST : Sachbericht/Schlussbericht
Machine Learning im Cost Engineering des Supply Managements
Machine Learning im Cost Engineering des Supply Managements
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Self-learning longitudinal control for on-road vehicles
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Criticality labeling via optimal control and machine learning in automotive active safety
Instance segmentation and 3D multi-object tracking for autonomous driving
Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen
Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen
Data mining for quality control: Burr detection in the drilling process
Fahrerintentionserkennung zur lichtbasierten Kommunikation mit Fußgängern
Adaptive human-robot policy blending for shared control teleoperation
SocialMedia2Traffic : Abschlussbericht
Simultaner Safety-Check von Trajektorien beim Automatisierten Fahren im Urbanen Verkehr
Verhaltensentscheidung für automatisierte Fahrzeuge mittels Arbitrationsgraphen
Robust and Probabilistic Motion Prediction for Intelligent Infrastructure Systems
Failure Prediction for Autonomous Systems
Learning continuous human-robot interactions from human-human demonstrations