Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
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Updated
Sep 20, 2024 - Python
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
This project provides a simple API built with FastAPI that takes a list of 2D points and generates a concave hull (alpha shape) based on a given alpha value. The API returns the coordinates of the shape's edges, which is useful for creating boundary shapes around scattered points.
QGIS plugin that automates the creation of density heatmaps with a heatmap explorer to examine the areas of greatest concentrations. It includes H3, geohash, and polygon density map algorithms along with several styling algorithms.
An implementation of photogrammetry space intersection
Streamlit app for 3D semantic segmentation of intra-oral teeth scans with MeshSegNet
The scan to model pipeline (SMP) is an open source tool that automatically generates mesh model files (PLY) by filtering and clustering data in LAS, a point cloud format. Using this, you can automate the extraction of buildings, ground, and trees from PCD. It is structured as a pipeline, so you can easily adjust parameters for each data processing
QGIS plugin that automates the creation of density heatmaps with a heatmap explorer to examine the areas of greatest concentrations. It includes H3, geohash, and polygon density map algorithms along with several styling algorithms.
Airbnb Price in NYC ( Select Boroughs )
Neural Medial Axis Approximation of Point Clouds for 3D Tree Skeletonization
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
Pure Python Libary of Ground Segmentation Algorithms
Fast Point Inspection is a QGIS plugin that streamlines the process of classifying point geometries in a layer.
GAFAR: Graph-Attention Feature-Augmentation for Registration A Fast and Light-weight Point Set Registration Algorithm
Simple Python script that generates (from a csv file containing lat and long coordinates) a txt file with each row corresponding to the definition in Javascript of a ee.Geometry.Point. Each ee.Geometry.Point can then be imported and visualized in the Code Editor of Google Earth Engine, instead of writing all of them manually
Determination of quadrants based on angle, coordinates and others
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