zillur01/LVLane

This repository implements a lane detection and classification model.

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Emerging

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.

autonomous-driving vehicle-perception intelligent-transportation road-safety computer-vision
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

22

Forks

5

Language

Python

License

Last pushed

Nov 11, 2023

Commits (30d)

0

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