AI-based Parameter Optimization Method
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
Detection, Classification and Objective Rating of Creep Groan Phenomena in Brake NVH Development
Validation Environment for Deep Reinforcement Learning Based Gear Shift Controllers
Interpretable Approximation of Optimal Trajectories for Lateral Vehicle Guidance
Simulation Study on Laminar Flame Speed of Ammonia-Hydrogen Blends Using Artificial Neural Networks
Synthetic Fuel Detection for Vehicles in Field using Machine Learning