Human-Machine Interaction for Automated Vehicles

Chapter ten

Driver steering intention prediction using neuromuscular dynamics

Abstract

The emerging automated driving technology poses a new challenge to driver–automation collaboration, which requires a mutual understanding between humans and machines through their intention identifications. In this study, oriented by human–machine mutual understanding, a driver steering intention prediction method is proposed to better understand human driver’s expectation during driver–vehicle interaction. The steering intention is predicted based on a novel hybrid-learning-based time-series model with deep learning networks. Two different driving modes, namely both-hand and single right-hand driving modes, are studied. Different electromyography signals from ...