zillur01/LVLane
This repository implements a lane detection and classification model.
This project helps self-driving car engineers and researchers train models to accurately detect and classify road lanes, even in difficult conditions. It takes raw image data, along with lane location and classification annotations, and outputs a trained model capable of identifying different types of lanes (e.g., solid, dashed, double yellow) in new images. This is essential for developing robust autonomous driving systems.
No commits in the last 6 months.
Use this if you are developing autonomous vehicles and need to improve your system's ability to precisely identify and categorize road lanes under various real-world driving scenarios.
Not ideal if you are looking for a pre-trained, ready-to-deploy lane detection solution without needing to train custom models or work with raw image datasets.
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22
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5
Language
Python
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Last pushed
Nov 11, 2023
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