How Lyft Creates Hyper-Accurate Maps from Open-Source Maps and Real-Time Data

1 · Lyft · Sept. 6, 2019, 7:19 p.m.
Albert Yuen, James Murphy, Sumanth Ravipathi, Deeksha Goyal, Han Kim, Adithya Hemakumar, Alex Ung, Clare CorthellLyft GPS Traces in San Francisco.At Lyft, our novel driver localization algorithm detects map errors to create a hyper-accurate map from OpenStreetMap (OSM) and real-time data. We have fixed thousands of map errors in OSM in bustling urban areas. Later in the post, we share a sample of the detected map errors in Minneapolis with the OSM Community to improve the quality of the map.Why ...