Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges
Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios.Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods nyx 22 brush have been proposed and applied in connected vehicles (CV