DIAM: Drone-based Indoor Accessibility Mapping

2024–Present 5

Engaging with Children's Artwork in Mixed Visual-Ability Families

2023–Present
ARTennis

2023–Present
CookAR

2023–Present
LabelAId

2023–Present
BusStopCV

2023–Present

Project Description

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 UIST 2024 To Appear

keywords: computer vision, 3D reconstruction, indoor accessibility auditing, indoor map generation, accessible indoor maps

PDF | Citation | DIAM: Drone-based Indoor Accessibility Mapping

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