🚀 Extract and analyze high-accuracy georeferenced vehicle trajectories from bird's-eye-view aerial video using computer vision and deep learning, for scalable urban traffic analysis.
-
Updated
Jun 10, 2026 - Python
🚀 Extract and analyze high-accuracy georeferenced vehicle trajectories from bird's-eye-view aerial video using computer vision and deep learning, for scalable urban traffic analysis.
Overlay web map tiles (OSM, aerial, custom XYZ) onto Autodesk APS Viewer as a camera-synced 3D ground plane. Handles coordinate transforms, frustum calculation, tile stitching, and caching.
UAV photogrammetry with GCP-based geodetic validation. Demonstrates orthophoto and DSM generation from drone imagery using OpenDroneMap.
OrthoViewer is a free GeoTIFF online viewer platform
A simple tool to view Ground Sampling Distance (GSD) information from orthophoto files with built-in support for matching DJI camera codes to drone models.
Resilient, decentralized data distribution via Source Cooperative, Zenodo, Internet Archive, Data for Canada infrastructure, and community, using peer-to-peer delivery and FAIR metadata.
Turn raw raster data into production-ready maps.
This project provides a suite of Python, R and Octave/Matlab scripts allowing the end-user to use machine learning to assess the health state of trees based on orthophotos and a LiDAR point cloud.
A scenery generator for the X-Plane flight simulator
Automated pipeline for detecting, mapping and counting birch seedlings | Qgis, Random Forest
AI-assisted vectorisation of photogrammetric excavation data: turns georeferenced orthophotos & DEMs into vector geometry (stones, walls, edges, sections) for a PostGIS archaeology database.
A place to experiment with metadata dissemination and its associated processes.
Geospatial Segment Anything Model (GeoSAM) : Case Study at Chulalongkorn University
NodeODM-compatible WebODM engine: COLMAP sparse + full OpenMVS chain (ReconstructMesh/RefineMesh)
A fully open-source alternative to commercial photogrammetry suites. Turns aerial/drone photos into point clouds, meshes, DSM/DTM, orthomosaics, and contours — with an experimental 3D Gaussian Splatting branch. MIT licensed, GPU-agnostic.
Add a description, image, and links to the orthophoto topic page so that developers can more easily learn about it.
To associate your repository with the orthophoto topic, visit your repo's landing page and select "manage topics."