FOSS4G 2022 general tracks

Open Data in OpenStreetMap’s RapiD Editor
2022-08-25, 14:15–14:45 (Europe/Rome), Modulo 0

The MapWithAI RapiD editor for OpenStreetMap offers a variety of open data to improve OpenStreetMap. This web-based map editor presents the user with various sources of open data to validate and add to OpenStreetMap, including MapWithAI roads, Microsoft buildings, and various open datasets shared via Esri.

In addition to these past data offerings, the user can now validate and add sidewalks and crosswalks derived from both Mapillary street-level imagery, as well as derived from various organizations who provide footway open data. Finally, Mapillary point data derived from imagery can also now be verified and directly converted into map data, thanks to a more efficient and rapid workflow.

We will explore all that open data available in the RapiD editor, with a specific focus on how footways are generated from Mapillary, validated from open datasets, conflated against existing OpenStreetMap data, and presented to the user for improved maps of pedestrian walkability.

Christopher Beddow is map analyst focusing on Mapillary and OpenStreetMap at Meta Reality Labs. He has worked on the OSM, GIS, and map data products at Mapillary since 2016. He codes in Python, SQL, and JavaScript, and enjoys traveling widely while editing OpenStreetMap. Chris lives in Switzerland and enjoys meeting people from every corner of the global FOSS4G and mapping community.

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