Lane Line Segmentation v2 Computer Vision Project
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Here are a few use cases for this project:
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Autonomous Vehicle Navigation: This model can be integral in the navigation systems of self-driving cars to identify and stay within lanes, aiding in safer autonomous transportation.
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Advanced Driver Assistance Systems (ADAS): Traditional vehicles can use this model to alert drivers if they are veering off their lanes or approaching the wrong lane, thereby enhancing road safety.
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Traffic Management Systems: The model can be implemented in traffic surveillance to monitor lane discipline and adherence to road signs, helping to enhance traffic law enforcement.
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Road Maintenance: Governments could use this model to periodically check road conditions and identify fading or missing lane lines that need attention, ensuring better road maintenance and safety.
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AR Driving Assistants: The lane line detection could be used in Augmented Reality style driving assistants that overlay lane information and navigational aids directly onto the driver's view of the road.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
lane-line-segmentation-v2_dataset,
title = { Lane Line Segmentation v2 Dataset },
type = { Open Source Dataset },
author = { Demarcation Road Lane Line },
howpublished = { \url{ https://universe.roboflow.com/demarcation-road-lane-line/lane-line-segmentation-v2 } },
url = { https://universe.roboflow.com/demarcation-road-lane-line/lane-line-segmentation-v2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2024-11-22 },
}