Lune

UIST2025Top-tier venue

FlyMeThrough: Human-AI Collaborative 3D Indoor Mapping with Commodity Drones

Xia Su, Ruiqi Chen, Jingwei Ma, Chu Li, Jon E. Froehlich

2025Year

Abstract

Figure 1: We introduce FlyMeThrough, a drone-based indoor mapping system that semi-automatically maps indoor spaces and locates key facilities such as entrances, stairs, elevators, and doors. (A) We use a DJI Avata drone to scan indoor spaces, and generate reconstructed 3D maps with structure-from-motion (SfM) [40]; (B) We employ SAM2 [2] to enable intuitive and efficient user annotation of key indoor facilities. (C) FlyMeThrough auto-segments objects, generates annotations across subsequent frames, and localizes them in the 3D map, which (D) users can interactively review and update.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

Builds on17

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines