Tootfinder

Street Review: A Participatory AI-Based Framework for Assessing Streetscape Inclusivity
Rashid Mushkani, Shin Koseki
https://arxiv.org/abs/2508.11708 https://

Street Review: A Participatory AI-Based Framework for Assessing Streetscape Inclusivity
Urban centers undergo social, demographic, and cultural changes that shape public street use and require systematic evaluation of public spaces. This study presents Street Review, a mixed-methods approach that combines participatory research with AI-based analysis to assess streetscape inclusivity. In Montréal, Canada, 28 residents participated in semi-directed interviews and image evaluations, supported by the analysis of approximately 45,000 street-view images from Mapillary. The approach pr…

StreetViewAI: Making Street View Accessible Using Context-Aware Multimodal AI
Jon E. Froehlich, Alexander Fiannaca, Nimer Jaber, Victor Tsara, Shaun Kane
https://arxiv.org/abs/2508.08524

StreetViewAI: Making Street View Accessible Using Context-Aware Multimodal AI
Interactive streetscape mapping tools such as Google Street View (GSV) and Meta Mapillary enable users to virtually navigate and experience real-world environments via immersive 360° imagery but remain fundamentally inaccessible to blind users. We introduce StreetViewAI, the first-ever accessible street view tool, which combines context-aware, multimodal AI, accessible navigation controls, and conversational speech. With StreetViewAI, blind users can virtually examine destinations, engage in o…