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Intelligent Driver Monitoring system for Autonomous Vehicles

Python 70.66% C++ 29.34%
self-driving-cars driver-monitoring deep-learning drowsiness-detection activity-recognition yawn vehicle computer-vision eye-closure autonomous-vehicles

ai-driver-safety's Issues

HeartBeat code not added

Need to start working on analysis on heartbeat when the driver is feeling drowsy:

  • Read accurate heartbeats : Use of Arduino/ESP or any other alternatives and HB sensor
  • Plot them
  • Analysis for drowsiness

Incorrect predictions in yawn detection algorithm

Lawn detection in yawn.py is calculated based on the ratio of mouth closure, which is calculated using the feature-points we get using the dlib library.
However, not every time the user is open mouth-wide he is yawning. This will result in the wrong assumption of the user being dizzy.
There needs to be a better alternative to this algorithm to detect yawns.
You are open to going through various research papers and coming up with a different approach. Comment your ideas below and let's see if we could implement them.

Implementation of Measuring Head Rotation

Measuring head-rotation for potential distraction detection:

  • Pitch, Yaw and Role measurements
    Maybe use of dlib for detecting facial landmarks and their relative positions to measure

Need suggestions for activity recognition.

Getting started for implementing activity recognition of driver while driving. Few of the potentially dangerous activities could be:
Talking on the phone, Eating or Looking off-road.

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