AI RESEARCH
From Street View to Visual Network: Mapping the Visibility of Urban Landmarks with Vision-Language Models
arXiv CS.CV
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ArXi:2505.11809v3 Announce Type: replace Visibility analysis in urban planning has traditionally relied on line-of-sight (LoS) simulations, which capture geometric occlusion. However, these approaches depend on accurate 3D data that is often unavailable and may not adequately represent how visually distinctive urban landmarks are encountered in real streetscapes. We reformulate landmark visibility assessment as an urban visual search problem in image space by leveraging the widespread availability of street view imagery