RASSAR: Room Accessibility and Safety Scanning in Augmented Reality-Reference-Cited by-同舟云学术

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RASSAR: Room Accessibility and Safety Scanning in Augmented Reality

Published:2024-05-11 Issue: Volume: Page:1-17
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Su Xia¹^ORCID,Zhang Han¹^ORCID,Cheng Kaiming²^ORCID,Lee Jaewook²^ORCID,Liu Qiaochu³^ORCID,Olson Wyatt⁴^ORCID,Froehlich Jon E.²^ORCID

Affiliation:

1. Paul G. Allen School of Computer Science and Engineering, University of Washington, United States

2. Paul G. Allen School of Computer Science & Engineering, University of Washington, United States

3. School of Architecture, Tsinghua University, China

4. School of Art + Art History + Design, University of Washington, United States

Funder

UW Reality Lab

Meta

NSF GRFP

NSF (National Science Foundation)

Center for Research and Education on Accessible Technology and Experiences (CREATE)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642140

Reference64 articles.

1. Geethanjali Anjanappa. 2022. Deep learning on 3D point clouds for safety-related asset management in buildings. http://essay.utwente.nl/91463/ Publisher: University of Twente.

2. Apple. [n. d.]. Core ML. https://developer.apple.com/documentation/coreml

3. Apple. 2020. Apple introduces iPhone 12 Pro and iPhone 12 Pro Max with 5G. https://www.apple.com/newsroom/2020/10/apple-introduces-iphone-12-pro-and-iphone-12-pro-max-with-5g/

4. Apple. 2022. RoomPlan - Augmented Reality. https://developer.apple.com/augmented-reality/roomplan/

5. Apple. 2023. Raycast. https://developer.apple.com/documentation/arkit/arsession/3132065-raycast

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