Urban Digital Twin Platform

This project develops scalable workflows for generating and updating urban digital twins from mobile mapping, airborne LiDAR, and optical imagery.

Objectives

• Build LoD2-ready city models for planning and engineering use
• Improve camera-LiDAR registration and quality control
• Support downstream climate, hazard, and infrastructure analytics

Methods

• Multimodal segmentation and feature extraction
• Geometry-aware registration pipelines
• Quality assessment using field and reference datasets

Impact

Outputs support municipal planning, emergency preparation, and data-driven infrastructure management.