Work

A Demo of DIAM: Drone-based Indoor Accessibility Mapping

Year: 2024

Type: conference-paper

Abstract: 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.

Source: ACM Symposium on User Interface Software and Technology (UIST)

DOI: 10.1145/3672539.3686782

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

Institution: University of Washington

Language: English

Topic: 3D Surveying and Cultural Heritage

Subfield: Geology

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: bronze

OpenAlex ID: W4403318116

FWCI: 13.03

Cites: 8

Cited by: 6

Related to: 10