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Machine learning
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Einsatzindividuelles, intelligentes Energiemanagement im hybriden Nutzfahrzeug
Learning Driver Behavior Models for Predicting Urban Traffic Situations
Adaptive human-robot policy blending for shared control teleoperation
Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data
Machine learning algorithms in ship design optimization
A robust machine learning structure for driving events recognition using smartphone motion sensors
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Predicting passenger satisfaction in public transportation using machine learning models
LSTM-oriented Handover Decision-making with SVR-based Mobility Prediction in 5G Vehicular Networks
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
An automatic methodology to measure drivers’ behavior in public transport