geomapi

GEOMAPI

This innovative toolbox, developped by KU Leuven Geomatics, jointly processes close-range sensing resources (point clouds, images) and BIM models for the AEC industry. More specifically, we combine semantic web technologies with state-of-the-art open source geomatics APIs to process and analyse big data in construction applications.

Installation

Use the package manager pip to install geomapi as a user.

conda create --name geomapi_user python=3.10
pip install geomapi

Or as a developer, install the dependencies from the root folder through the command line.

pip install -r requirements.txt

Documentation

You can read the full API reference here:

Documentation

Quickstart

import geomapi
from geomapi.nodes import Node

newNode = Node()

Contributing

The master branch is protected and you can only make changes by submitting a merge request. Please create a new branch if you would like to make changes and submit them for approval.

Citation

If you want to cite us, refer to the following publication (accepted).

@article{GEOMAPI,
            title = {GEOMAPI: Processing close-range sensing data of construction scenes with semantic web technologies},
            journal = {Automation in Construction},
            volume = {164},
            pages = {105454},
            year = {2024},
            issn = {0926-5805},
            doi = {https://doi.org/10.1016/j.autcon.2024.105454},
            url = {https://www.sciencedirect.com/science/article/pii/S0926580524001900},
            author = {Maarten Bassier and Jelle Vermandere and Sam De Geyter and Heinder De Winter},
            keywords = {Geomatics, Semantic Web Technologies, Construction, Close-range sensing, BIM, Point clouds, Photogrammetry}
            }

TEAM

• [e-mail] (PI)
• [e-mail]
• [e-mail]
• [e-mail]

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Licensing

The code in this project is licensed under MIT license.