grava detector Computer Vision Project
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Here are a few use cases for this project:
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Public Infrastructure Management: The "grava detector" model could be used by cities or municipalities to analyze and maintain public spaces. By identifying various types of surfaces (e.g. cement, grass, gravel) and objects (e.g. small or large sticks), this model could help find potential hazards or required maintenance areas such as non-navigable zones or trajectory zones.
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Navigation for Autonomous Vehicles: This model can be used in the field of autonomous vehicles, to help them differentiate between different path types (superable or non-navigable zones), avoid obstacles or unsafe areas (large sticks, non-navigable zones), and choose the safest and most efficient paths.
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Construction Industry: In construction projects, this model can be used to analyze the surface and surrounding environment for safety and planning purposes. For instance, it can automatically identify areas with cement, gravel, or earth that helps in planning construction activities.
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Outdoor Robotics: For robots operating in an outdoor environment, this model could provide information about the surrounding terrain allowing them to optimize their path planning and obstacle avoidance algorithms.
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Accessibility Mapping: This model can have applications in creating accessibility maps for people with disabilities. It can differentiate superable surfaces from non-superable ones, helping to inform and guide the physically handicapped about the most accessible routes and zones.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
grava-detector_dataset,
title = { grava detector Dataset },
type = { Open Source Dataset },
author = { Universidad Politecnica de Madrid },
howpublished = { \url{ https://universe.roboflow.com/universidad-politecnica-de-madrid/grava-detector } },
url = { https://universe.roboflow.com/universidad-politecnica-de-madrid/grava-detector },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-12-22 },
}