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Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilities. (arXiv:2206.13677v1 [cs.CV])
June 29, 2022, 1:12 a.m. | Maryam Hosseini, Mikey Saugstad, Fabio Miranda, Andres Sevtsuk, Claudio T. Silva, Jon E. Froehlich
cs.CV updates on arXiv.org arxiv.org
There is a lack of data on the location, condition, and accessibility of
sidewalks across the world, which not only impacts where and how people travel
but also fundamentally limits interactive mapping tools and urban analytics. In
this paper, we describe initial work in semi-automatically building a sidewalk
network topology from satellite imagery using hierarchical multi-scale
attention models, inferring surface materials from street-level images using
active learning-based semantic segmentation, and assessing sidewalk condition
and accessibility features using Crowd+AI. We close …
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