This research was conducted by Andrea Lombardo in collaboration with AI Team, Urban Innovation and R&D, City of Amsterdam.
Involved civil servants: Diederik Roijers
Supervisors: Tim Alpherts & Diederik Roijers
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.