Unsupervised Object Discovery with Urban Context Cues

Poster by Andrea Lombardo

Sidewalk accessibility is crucial for safe and comfortable pedestrian travel, especially for citizens with reduced mobility. Manual inspection is expensive and time-consuming, so alternative methods like remote crowdsourcing and computer vision have been explored.

This poster presents Andrea Lombardo's pipeline to address this issue using an unsupervised algorithm to localize accessibility features.