Mapillary is a rich source of visual information about the world around us, and is known for providing map data like traffic signs derived from what is visible in imagery. In this talk, we will take a look at some of the current and future potential of deriving new data from Mapillary that can improve OpenStreetMap, such as mapping sidewalk networks and crosswalk nodes, finding points of interest (POIs), verifying data sources like Overture Places, and enriching the attributes of existing data.
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Next up in State of the Map US
Previous talkHorizonDB: High-throughput geocoding at Radar
Radar CTO Tim Julien shares the internals behind HorizonDB, Radar’s geospatial datastore. Learn how Radar designed a high-throughput, low-latency datastore for search and geocoding use cases—covering architecture, performance, and key lessons.
