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INAVI Systems
- Pangyo, Gyeonggi-do, Korea
- https://alsdnworks.github.io/
- https://orcid.org/0009-0007-4286-2070
Stars
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
🌐 Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems
OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.
"CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub: https://clianything.cc/
Seoul World Model: Grounding World Simulation Models in a Real-World Metropolis
📚 Jupyter notebook tutorials for OpenVINO™
Movement trajectory classes and functions built on top of GeoPandas
Remote MCP Server that securely connects Jira and Confluence with your LLM, IDE, or agent platform of choice.
🌐 Permanent Hosting Site: http://ai-paper-finder.info/ 🌐 Hugging Face Hosting: https://huggingface.co/spaces/wenhanacademia/ai-paper-finder
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Demo of CloudCompare MCP (you have to customize the code yourself)
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
Agent-based patrol simulation and safety heatmaps for all 18 cities/counties in Gyeongsangnam-do, Korea. We build road-network graphs, optimize police patrol loops, run 3-hour stochastic simulation…
A Python library for analyzing GTFS feeds.
Community list of transit APIs, apps, datasets, research, and software 🚌🌟🚋🌟🚂
Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A collection of all public Google Earth Engine Apps.
Fast map matching, an open source framework in C++
This library is a spinoff from folium, that would host the non-map-specific features.
3D Surface Reconstruction From Multi-Date Satellite Images, ISPRS, 2021
Workflow to convert an OSM file from OpenStreetMap into a .pcd file, lanelet2 file and a 3D Model suitable for Autoware and AWSIM.
This is the Final Project of the course Geospatial Vision and Visualization (Spring 20) at Illinois Tech, Chicago. The goal of the project is detecting the lane marking for a small LIDAR point clou…