OpenStreetMap US

The process of manually mapping pedestrian path networks for OpenStreetMap is difficult due to the large amount of data required and the potential for error. We developed a tool leveraging and integrating different globally-available data types for proactive pedestrian path and network data generation and traversal analytics incorporating accessibility. Along with existing street network data, state-of-the-art computer vision techniques are employed to automatically infer massive pedestrian path network information for 6 cities on 2 continents. The inferred pedestrian path network data are represented in OSM JSON format and can be directly used in OpenStreetMap as a data layer, or used in downstream routing and analytic applications.

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Keynote: Mapping Prejudice

Sep 6, 2019 · Kevin Ehrman-Solberg

Mapping Prejudice is a research group at the University of Minnesota showing the history of housing discrimination in Minnesota and Minneapolis in particular.