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a computer vision project that estimates distance and determine whether brake needs to be applied

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s-4-m-a-n/autonomous_braking

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autonomous braking 🚗

It is a computer vision project that uses yolov5 for object detection. It estimates distance between the subject (vehicle where a dash cam and the system is installed) and the traffic objects, if the estimated distance exceeds the predetermined threshold distance than a braking signal will be generated.

Importance of autonomous braking

  • Only 40% of the drivers apply brake in an accidental situation.
  • Laboratory test results have proven that about 47% of the collision impact can be reduced by automatic application of the brake force.

Screenshots

  • when a traffic object is within the ROI but outside the threshold distance --> braking signal is not generated screenshot 1

  • when a traffic object is within the ROI and below the threshold distance --> braking signal is generated screenshot 2

  • when a traffic object is outside the ROI but below the threshold distance --> braking signal is not generated screenshot 2

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a computer vision project that estimates distance and determine whether brake needs to be applied

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