fabvio/Cascade-LD
Lane detection and classification in an end-to-end Deep Learning fashion
This tool helps autonomous driving systems understand road conditions by detecting and classifying lanes in real-time video feeds. It takes raw video or image data from a vehicle's camera as input and outputs the identified lane markings, indicating their type (e.g., solid, dashed). Autonomous vehicle engineers and researchers can use this to enhance perception systems for navigation and safety.
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Use this if you need to integrate a robust lane detection and classification capability into an autonomous vehicle's perception stack.
Not ideal if you require a solution for non-roadway object detection or general image segmentation tasks outside of lane markings.
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Jupyter Notebook
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Last pushed
Apr 24, 2022
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