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논문	요약	저자	태그	발행연도	데이터셋
A Hybrid Deep Learning Model for Recognizing Actions of Distracted Drivers			OpenPose, LSTM	2021	SFDDD, AUC
Online Driver Distraction Detection Using Long Short-Term Memory	단방향 LSTM, 신호들을 이용한 driver distraction detection	Shokoufeh Monjezi Kouchak, Ashraf Gaffar	LSTM	2011
Driver activity recognition using spatial-temporal graph convolutional LSTM networks with attention mechanism		Chaopeng Pan, Haotian Cao, Weiwei Zhang, Xiaolin Song, Mingjun Li	GCN, LSTM, Attention Layer	2020
Detecting Driver Behavior Using Stacked LSTM Network With Attention Layer	stacked LSTM layer, bidirectional LSTM layer, attention layer	Shokoufeh Monjezi Kouchak, Ashraf Gaffar	Attention Layer, 양방향 LSTM	2021
Integration of Ensemble Variant CNN with Architecture Modified LSTM for Distracted Driver Detection	패턴 추출, 특징 추출, CNN + LSTM	Zakaria Boucetta, Abdelaziz El Fazziki, Mohamed El Adnani	LGP, LWP, ResNet50, InceptionV3, Xception, HSWOA, O-LSTM	2022	SFDDD
Driver’s Distraction Detection via Hybrid CNN-LSTM	LSTM + CNN 복잡한 행동 구분이 어려울 수 있음	R. Hemashree, M. Vijay Anand	LSTM, CNN	2024
Driver Distraction and Fatigue Detection in images using ME-YOLOv8 algorithm	Me-YOLOv8 + MHSA + ECA	Ali Debsi, Guo Ling, Mohammed Al-Mahbashi, Mohammed Al-Soswa, Abdulkareem Abdullah	ME-YOLOv8, MHSA, projection head	2024	DDFDD
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach	비디오 클립 → 고유한 벡터 표현 → Contrastive Loss	Okan Kopuklu, Jiapeng Zheng, Hang Xu, Gerhard Rigoll	open set recognition, contrastive learning, projection head, contrastive loss	2020
Real-time Distracted Driver Posture Classification		Yehya Abouelnaga, Hesham M. Eraqi, Mohamed N. Moustafa	face detector, hand detector, AlexNet, InceptonV3, AUC	2018