https://github.com/s-4-m-a-n/autonomous_braking
a computer vision project that estimates distance and determine whether brake needs to be applied
https://github.com/s-4-m-a-n/autonomous_braking
autonomous-driving computer-vision deep-learning yolov5
Last synced: 2 months ago
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a computer vision project that estimates distance and determine whether brake needs to be applied
- Host: GitHub
- URL: https://github.com/s-4-m-a-n/autonomous_braking
- Owner: s-4-m-a-n
- Created: 2022-10-01T12:07:42.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2022-10-01T12:41:17.000Z (over 2 years ago)
- Last Synced: 2025-01-28T10:37:30.449Z (4 months ago)
- Topics: autonomous-driving, computer-vision, deep-learning, yolov5
- Language: Python
- Homepage:
- Size: 17 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# autonomous braking :red_car:
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
- when a traffic object is within the ROI and below the threshold distance --> braking signal is generated
- when a traffic object is outside the ROI but below the threshold distance --> braking signal is not generated
