mlsanityData to 7 Oct 2026

Real-time Distracted Driver Posture Classification

arXiv 1706.09498 ↗First posted 28 Jun 2017cs.CVcited by 29

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Abstract (arXiv)

In this paper, we present a new dataset for "distracted driver" posture estimation. In addition, we propose a novel system that achieves 95.98% driving posture estimation classification accuracy. The system consists of a genetically-weighted ensemble of Convolutional Neural Networks (CNNs). We show that a weighted ensemble of classifiers using a genetic algorithm yields in better classification confidence. We also study the effect of different visual elements (i.e. hands and face) in distraction detection and classification by means of face and hand localizations. Finally, we present a thinned version of our ensemble that could achieve a 94.29% classification accuracy and operate in a realtime environment.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jun 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 6; 2023: 5; 2024: 6; 2025: 2; 2026: 4.

29 papers.

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  1. 2023Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videoscited by 16
  2. 2021Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognitioncited by 14
  3. 2021TICaM: A Time-of-flight In-car Cabin Monitoring Datasetcited by 10
  4. 2021Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognitioncited by 9
  5. 2023Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfercited by 9
  6. 2022ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detectioncited by 6
  7. 2022Real-Time Driver Monitoring Systems through Modality and View Analysiscited by 5
  8. 2022Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimatescited by 4
  9. 2021Artificial Intelligence Methods in In-Cabin Use Cases: A Surveycited by 3
  10. 2021Regional Attention Network (RAN) for Head Pose and Fine-grained Gesture Recognitioncited by 3
  11. 2022Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Imagescited by 3
  12. 2021A Computer Vision-Based Approach for Driver Distraction Recognition using Deep Learning and Genetic Algorithm Based Ensemblecited by 2
17 more
  1. 2022Detection of Distracted Driver using Convolution Neural Networkcited by 2
  2. 2024BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimizationcited by 2
  3. 2023Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attentioncited by 1
  4. 2023Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervisioncited by 1
  5. 2023PoseViNet: Distracted Driver Action Recognition Framework Using Multi-View Pose Estimation and Vision Transformercited by 1
  6. 2024Driver Attention Tracking and Analysiscited by 1
  7. 2024DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identificationcited by 1
  8. 2024Cross-Camera Distracted Driver Classification through Feature Disentanglement and Contrastive Learningcited by 1
  9. 2025Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysiscited by 1
  10. 2026DAOS: A Multimodal In-cabin Behavior Monitoring with Driver Action-Object Synergy Datasetcited by 1
  11. 2022Virtual passengers for real car solutions: synthetic datasetscited by 0
  12. 2024MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognitioncited by 0
  13. 2024Research on target detection method of distracted driving behavior based on improved YOLOv8cited by 0
  14. 2025Real-Time In-Cabin Driver Behavior Recognition on Low-Cost Edge Hardwarecited by 0
  15. 2026Zero-Shot Distracted Driver Detection via Vision Language Models with Double Decouplingcited by 0
  16. 2026Vision-language Models for Driver Monitoring Systems: A Driver Activity Description Datasetcited by 0
  17. 2026SecureDrive-FL: Joint Differential Privacy and Gradient-Aware Selective Homomorphic Encryption for Federated Driver Monitoringcited by 0