visualbuffer/copilot
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
This project helps drivers, especially in areas with fewer advanced vehicle features, by turning a mobile device's camera feed into a real-time driving assistant. It takes live video footage from the road ahead and overlays information about lane boundaries, other vehicles, and potential collision risks. This is for any driver seeking to enhance their road safety awareness through accessible technology.
177 stars. No commits in the last 6 months.
Use this if you want to add essential driver-assistance features like lane keeping guidance and collision warnings to your vehicle using a mobile phone or similar device.
Not ideal if you expect a fully autonomous driving system or are looking for a commercial-grade, certified ADAS solution.
Stars
177
Forks
61
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 17, 2020
Commits (30d)
0
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