ELEVATE PARIS : Abschlussbericht
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Data mining for quality control: Burr detection in the drilling process
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Criticality labeling via optimal control and machine learning in automotive active safety
Combat vehicle classification using machine learning
Clustering sensor data for autonomous terrain identification using time-dependency
Bremsenknarzen im NVH-Entwicklungsprozess: Detektion, Klassifizierung und objektive Bewertung
Big data machine learning for flight planning
Big data machine learning for flight planning
Autonomous situation awareness through threat data integration