Project Sidewalk and XR Access
Ash Lingam
Crowdsourced labeled image data, such as from University of Washington's Project Sidewalk, could support assistive AR development. For instance, computer vision and ML models being trained for autodetection might be leveraged to augment real-time pedestrian accessibility aids, and next generation AR glasses could provide a means for individuals to contribute to labeling and validation in real-time. Such forms of technology could expand the ways accessibility information is collected and provide greater immediacy to labeling and validation efforts.
Like this project
Posted Feb 8, 2025
Conducted a case study examining the intersection of crowdsourced labels and AR toward innovating for urban accessibility for blind and low vision users.
