Projects

RASSAR

2022 – Present

Publications

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

Xia Su, Kaiming Cheng, Han Zhang, Jaewook Lee, Yueqian Zhang, Jon E. Froehlich

UrbanAccess 2022

PDF | doi | Citation | RASSAR

We design, build, and evaluate interactive tools and techniques to address pressing societal challenges in accessibility, sustainability, education, and beyond.

Recent News

May 20, 2023

Allen School Drumheller Half Marathon

May 19, 2023

Jun and Liam Presented GazePointAR at UGrad Research Symposium

May 14, 2023

Xia Su Presented Project Sidewalk and RASSAR to the Igarashi Lab at UTokyo

Links