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Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic
Identification of Common Force-based Robot Skills from the Human and Robot Perspective
An Autonomous Driving Approach Based on Trajectory Learning Using Deep Neural Networks
Research on Intelligent Decision Based on Compound Traffic Field
Road Type Identification Ahead of the Tire Using D-CNN and Reflected Ultrasonic Signals
Filtered Integral Formulation of the Sparse Model Identification Problem
Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions
Neural-Based Predictive Control for Safe Autonomous Spacecraft Relative Maneuvers
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
A European Study to identify Key Operational Parameters for ATFM Routing Decisions
Learning Defects from Aircraft NDT data (Masterarbeit)
Trajectory Planning for Automated Parking Systems Using Deep Reinforcement Learning
Grant-Free Access: Machine Learning for Detection of Short Packets