A Demo of DIAM: Drone-based Indoor Accessibility Mapping
Indoor mapping data is crucial for navigation and accessibility, yet such data are widely lacking due to the manual labor and expense of data collection, especially for larger indoor spaces. In this demo paper, we introduce Drone-based Indoor Accessibility Mapping (DIAM), a drone-based indoor scanning system that efficiently produces 3D reconstructions of indoor spaces with automatically recognized and located accessibility features/barriers such as stairs, elevators, and doors automatically. With DIAM, our goal is to 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.
Authors
- Jon E. Froehlich (ORCID: https://orcid.org/0000-0001-8291-3353)
- Xia Su (ORCID: https://orcid.org/0000-0002-2063-0769)
- Ruiqi Chen (ORCID: https://orcid.org/0000-0001-7255-5353)
- Weiye Zhang
- Jingwei Ma
Institutions
- University of Washington (US)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1145/3672539.3686782
- Citations
- 6
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 7.79