most citedTowards Semi-automatic Detection and Localization of Indoor Accessibility Issues using Mobile Depth Scanning and Computer Vision

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.HC2022★ 2 cited

Towards Semi-automatic Detection and Localization of Indoor Accessibility Issues using Mobile Depth Scanning and Computer Vision

Xia Su, Kaiming Cheng, Han Zhang +2

To help improve the safety and accessibility of indoor spaces, researchers and health professionals have created assessment instruments that enable homeowners and trained experts t…