An innovative and streamlined approach to ensure data quality enhancement for pedestrian map data on OSM, utilizing the MapRoulette challenge framework and community activation.
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MapRoulette
MapRoulette breaks up OpenStreetMap work into snack-sized “challenges.” Earn points by fixing validation issues, turning nodes into areas, adding missing tags, and through countless other little tasks that contribute to a healthier map.
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Previous talkScalable and Accelerated AI Mapping for Connected Pedestrian Pathways Graphs
Mapping pedestrian pathways on OSM can be challenging, requiring extensive data and effort. To address this, we developed PROPHET, an AI pipeline, that utilizes aerial imagery, existing street data, computer vision, and...
