Christopher Beddow
Christopher Beddow is an analyst focusing on Mapillary and OpenStreetMap on the Spatial Computing team at Facebook 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.
Sessions
Mapping pedestrian infrastructure on OpenStreetMap has entered a new age. With the latest AI-powered mapping tools from Facebook, sidewalks and crosswalks visible in Mapillary imagery can now be easily translated into geospatial data, representing the network of routable features on the map.
Sidewalks are historically under mapped in OpenStreetMap, with many towns and cities worldwide showing only roads. For the pedestrian, adding sidewalks to the map, as well as using a map with accurately displayed footways, is a frequent challenge. This is all changing with a new workflow that uses computer vision to derive sidewalks and crosswalks from Mapillary street-level imagery and predict their geospatial locations.
Join us in this session to learn more about how we created a sidewalk and crosswalk network from street-level imagery, and how to use the latest tools to map a sidewalk near you.