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driver-monitoring

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A curated list of peer-reviewed papers on theoretical and practical aspects of drivers' attention used for paper "Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets" and report on "Behavioral research and practical models of drivers' attention".

  • Updated Dec 10, 2025

The "Driver Coach" system is based on a camera, sensors and machine learning algorithms. It monitors car driver behaviour and provides feedback to improve road safety. The system can be part of a larger Road Safety ECO system sharing data between driver and organisations (Smart City).

  • Updated Feb 10, 2021
  • Python

A real-time driver monitoring and risk assessment system using YOLO, MediaPipe, and computer vision to detect driver drowsiness, distraction, phone usage, and other risky behaviors.

  • Updated Aug 21, 2026
  • Python

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