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Intelligenz auf vier Rädern: Autos lernen, Verkehrszeichen zu erkennen
Lane change intent analysis using robust operators and sparse Bayesian learning
Latent State-Space Models for Control
Learning continuous human-robot interactions from human-human demonstrations
Learning motion skills for a humanoid robot
Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Machine learning approaches for detection of robot errors in human brain signals
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Machine Learning Technologies in Internet of Vehicles
Maritime Vessel Detection and Classification in Harbor Environment Using Deep Learning
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Neural network full-body human predictive models and their use for coordinated robot motion planning