ReUseX

ReUseX is based on the Ph.D. research of Povl Filip Sonne-Frederiksen, focused on making the reuse of vacant buildings more practical and cost-effective. Vacant structures often end up demolished because reuse seems complex and uncertain. This research addresses that challenge by simplifying early-stage 3D mapping, providing accurate data and actionable insights right from the start. With better information early in the process, stakeholders can reduce risk, plan smarter, and make reuse a viable option—ultimately lowering the CO₂ footprint of construction and supporting circular economy principles. To achieve this, the research introduces a workflow that combines affordable scanning, intelligent segmentation, and streamlined reconstruction. Instead of relying on expensive, specialized scanners, the approach uses consumer-grade devices such as iPhones or iPads to capture LiDAR and RGB data, making early mapping possible before major budgets are allocated. Captured data is then processed using advanced algorithms to identify and classify building components efficiently. By leveraging image-based models, segmentation becomes both accurate and computationally efficient, enabling quick resource assessments.

This project is the extention of my PhD thesis. It builds upon the research and creates a platform that enables users to esily scan and label building components for re-use in future projects. ReUseX consists of 2 parts:

• A mobile app for scanning the buildings and tagging objects of interest.
• A web platform for reviewing, managing and exporting the scanned objects.