alexstaravoitau/detecting-road-features
Detecting Road Features: identifying lane and vehicles boundaries in a video.
This project helps automotive engineers and self-driving car developers analyze forward-facing camera video to identify crucial road features. It takes raw video footage from a vehicle's camera, corrects for lens distortion, and processes it to output clearly marked lane boundaries and surrounding vehicle locations. This is ideal for those who need to understand vehicle position relative to the road and other traffic for safety or navigation systems.
101 stars. No commits in the last 6 months.
Use this if you need to extract and track lane boundaries and other vehicles from dashcam or vehicle camera footage for analysis or system development.
Not ideal if you require highly robust, real-time road feature detection for production autonomous driving systems, as this project uses primarily computer vision techniques rather than advanced deep learning.
Stars
101
Forks
39
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 06, 2017
Commits (30d)
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