Project Description

2024–Present
Indoor mapping data is crucial for navigation and accessibility, yet such data are widely lacking due to the high manual labor of data collection, especially for larger indoor spaces. We introduce Drone-based Indoor Accessibility Mapping (DIAM), a drone-based indoor scanning system that efficiently produces 3D reconstructions of indoor spaces with key accessibility facilities recognized and located in the model. With DIAM, users can scan indoor spaces quickly and generate a precise, detailed, and visual 3D indoor accessibility map. We describe DIAM’s system design, present its technical capabilities, and discuss future use cases.

Publications

A Demo of DIAM: Drone-based Indoor Accessibility Mapping

Xia Su, Ruiqi Chen, Richard Weiye Zhang, Jingwei Ma, Jon E. Froehlich

Extended Abstract Proceedings of UIST 2024

Talks