Join us for an in-depth look at how Machine Learning (ML) models can be used to detect missing footway data in OSM. By finding missing marked crosswalks using ML, we can help point mappers to coverage gaps. We will discuss our technical approach as well as how we want to partner with local communities. We will also cover a unique approach to mapping these missing footways using the Rapid editor’s new Map Roulette integration.
Speakers
Kurt Schellhase is a Software Engineer at Meta, based in Seattle, Washington. He has worked with Meta the past 4 years on their map team, with a focus on open data, lidar processing, map conflation, ML predictions, and distributed systems.
