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