KareimGazer/Perception-Stack
software pipeline to identify the lane boundaries and cars in a video for autonomous self-driving cars
This software pipeline processes video footage captured from a vehicle to automatically identify lane boundaries and other cars on the road. It takes a raw video file as input and produces an annotated video that highlights lanes and detected vehicles, along with numerical data about lane curvature and vehicle position. This tool is designed for autonomous driving engineers and researchers working on perception systems for self-driving cars.
No commits in the last 6 months.
Use this if you need to develop or test the visual perception capabilities of an autonomous vehicle system by analyzing video for lane and car detection.
Not ideal if you are looking for a general-purpose object detection tool or if your primary interest is not in autonomous vehicle perception.
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HTML
License
MIT
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Last pushed
May 26, 2022
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