Simulation-driven machine learning for robotics and automation
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Criticality Labeling via Optimal Control and Machine Learning in Automotive Active Safety
Criticality labeling via optimal control and machine learning in automotive active safety
Fully bayesian vehicle tracking using extended object models
Big data machine learning for flight planning
Big data machine learning for flight planning
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
Computational methods for cognitive and cooperative robotics
Learning continuous human-robot interactions from human-human demonstrations
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Automotive data analytics, methods, DoE : proceedings of the International Calibration Conference
Steering in a Random Forest. Ensemble Learning for Detecting Drowsiness-Related Lane Departures
Automatic Geographic Enrichment by Multi-modal Bike Sensing
A Software Scheme for UAV's Safe Landing Area Discovery