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AI-based Parameter Optimization Method
Arbeitsplatznahes Lernen mit Augmented Reality
Bremsenknarzen im NVH-Entwicklungsprozess: Detektion, Klassifizierung und objektive Bewertung
Anwendung des Gesamtkonzeptes am Beispiel des Karosseriebaus
Deep Learning-Based Multi-scale Multi-object Detection and Classification for Autonomous Driving
New Challenges for Deep Neural Networks in Automotive Radar Perception
Welcome to the Data Jungle – Our Way to Tackle AI-Supported Vehicle Development Projects
Data-Driven Automotive Development: Federated Reinforcement Learning for Calibration and Control
Cloud-Based Predictive Diagnosis Using Machine Learning for Automotive EPGS
Machine Learning Based Simulation for Wear Estimation in Commercial Vehicle Applications
Active Output Selection for an HEV Boost Maneuver
Validation Environment for Deep Reinforcement Learning Based Gear Shift Controllers
Detection, Classification and Objective Rating of Creep Groan Phenomena in Brake NVH Development