A Hybrid Deep Learning Model for Recognizing Actions of Distracted Drivers

Online Driver Distraction Detection Using Long Short-Term Memory

Driver activity recognition using spatial-temporal graph convolutional LSTM networks with attention mechanism

Detecting Driver Behavior Using Stacked LSTM Network With Attention Layer

Integration of Ensemble Variant CNN with Architecture Modified LSTM for Distracted Driver Detection

Driver’s Distraction Detection via Hybrid CNN-LSTM

Driver Distraction and Fatigue Detection in images using ME-YOLOv8 algorithm

Driver Anomaly Detection: A Dataset and Contrastive Learning Approach

Real-time Distracted Driver Posture Classification