mlsanityData to 14 Oct 2026

Research on Driver Facial Fatigue Detection Based on Yolov8 Model

arXiv 2406.18575 ↗First posted 4 Jun 2024cs.CV cs.LGcited by 11

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Abstract (arXiv)

In a society where traffic accidents frequently occur, fatigue driving has emerged as a grave issue. Fatigue driving detection technology, especially those based on the YOLOv8 deep learning model, has seen extensive research and application as an effective preventive measure. This paper discusses in depth the methods and technologies utilized in the YOLOv8 model to detect driver fatigue, elaborates on the current research status both domestically and internationally, and systematically introduces the processing methods and algorithm principles for various datasets. This study aims to provide a robust technical solution for preventing and detecting fatigue driving, thereby contributing significantly to reducing traffic accidents and safeguarding lives.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 11 of its 14 references that are in the map. First posted on arXiv 4 Jun 2024.

Builds on

11 of 14 references.

References · 11

  1. 2023Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networkscited by 56
  2. 2022A Study of the Attention Abnormality in Trojaned BERTscited by 48
  3. 2024Exploring Diverse Methods in Visual Question Answeringcited by 45
  4. 2018Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagerycited by 43
  5. 2023Attention-Enhancing Backdoor Attacks Against BERT-based Modelscited by 32
  6. 2024Regional Style and Color Transfercited by 30
  7. 2024Task-Agnostic Detector for Insertion-Based Backdoor Attackscited by 23
  8. 2019Confidence Trigger Detection: Accelerating Real-time Tracking-by-detection Systemscited by 21
  9. 2021Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNNcited by 16
  10. 2021How to Design Sample and Computationally Efficient VQA Modelscited by 2
  11. 2019Question Classification with Deep Contextualized Transformercited by 1

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Cited by year

Citing papers per year: 2024: 11.

11 papers.

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  7. 2024Exploiting Diffusion Prior for Out-of-Distribution Detectioncited by 7
  8. 2024Transforming Movie Recommendations with Advanced Machine Learning: A Study of NMF, SVD,and K-Means Clusteringcited by 2
  9. 2024Enhanced Credit Score Prediction Using Ensemble Deep Learning Modelcited by 2
  10. 2024Innovative Deep Learning Techniques for Obstacle Recognition: A Comparative Study of Modern Detection Algorithmscited by 0
  11. 2024Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Modelscited by 0