운전자 주의 분산 주제 논문 정리
운전자 이상 행동 분류 모델 설계를 하기 위해 읽었던 논문을 정리
sol-commits Feb 21, 2025
| 논문 | 태그 | 요약 | 데이터셋 | 발행연도 | 저자 |
|---|---|---|---|---|---|
| Real-time Distracted Driver Posture Classification | face detectorhand detectorAlexNetInceptonV3AUC | 2018 | Yehya Abouelnaga, Hesham M. Eraqi, Mohamed N. Moustafa | ||
| Driver Anomaly Detection: A Dataset and Contrastive Learning Approach | open set recognitioncontrastive learningprojection headcontrastive loss | 비디오 클립 → 고유한 벡터 표현 → Contrastive Loss | 2020 | Okan Kopuklu, Jiapeng Zheng, Hang Xu, Gerhard Rigoll | |
| Driver Distraction and Fatigue Detection in images using ME-YOLOv8 algorithm | ME-YOLOv8MHSAprojection head | Me-YOLOv8 + MHSA + ECA | DDFDD | 2024 | Ali Debsi, Guo Ling, Mohammed Al-Mahbashi, Mohammed Al-Soswa, Abdulkareem Abdullah |
| Driver’s Distraction Detection via Hybrid CNN-LSTM | LSTMCNN | LSTM + CNN 복잡한 행동 구분이 어려울 수 있음 | 2024 | R. Hemashree, M. Vijay Anand | |
| Integration of Ensemble Variant CNN with Architecture Modified LSTM for Distracted Driver Detection | LGPLWPResNet50InceptionV3XceptionHSWOAO-LSTM | 패턴 추출, 특징 추출, CNN + LSTM | SFDDD | 2022 | Zakaria Boucetta, Abdelaziz El Fazziki, Mohamed El Adnani |
| Detecting Driver Behavior Using Stacked LSTM Network With Attention Layer | Attention Layer양방향 LSTM | stacked LSTM layer, bidirectional LSTM layer, attention layer | 2021 | Shokoufeh Monjezi Kouchak, Ashraf Gaffar | |
| Driver activity recognition using spatial-temporal graph convolutional LSTM networks with attention mechanism | GCNLSTMAttention Layer | 2020 | Chaopeng Pan, Haotian Cao, Weiwei Zhang, Xiaolin Song, Mingjun Li | ||
| Online Driver Distraction Detection Using Long Short-Term Memory | LSTM | 단방향 LSTM, 신호들을 이용한 driver distraction detection | 2011 | Shokoufeh Monjezi Kouchak, Ashraf Gaffar | |
| A Hybrid Deep Learning Model for Recognizing Actions of Distracted Drivers | OpenPoseLSTM | SFDDDAUC | 2021 |
