Driver behaviour recognition based on recursive all‐pair field transform time series model

• Published in: IET intelligent transport systems Vol. 18; no. 9; pp. 1559 - 1573
• Main Authors: Xu, HuiZhi, Xing, ZhaoHao, Ge, YongShuai, Hao, DongSheng, Chang, MengYing
• Format: Journal Article
• Language: English
• Published: Wiley 01.09.2024
• Subjects: computer vision; convolutional neural nets; intelligent transportation systems; management and control; road traffic; traffic modelling

To standardize driver behaviour and enhance transportation system safety, a dynamic driver behaviour recognition method based on the Recurrent All‐Pairs Field Transforms (RAFT) temporal model is proposed. This study involves the creation of two datasets, namely, Driver‐img and Driver‐vid, including...