Lightning Talks - Partnerships

Byron North
Saturday, 4:50pm – 1 hour
Jubal Harpster, Tim Smith, Mihai Iepure, Sandra Uddbäck, Minh Nguyen, Beata Tautan-Jancso
Here Comes Microsoft
Jubal Harpster, Microsoft
Since 2010 Microsoft has been interested fostering and facilitating a robust OSM ecosystem. Since then, eventhough Microsoft has become the number one contributor to Open Source projects on GitHub the use of Open Data has been relatively limited. Over the past year Microsoft has taken a renewed interest in OSM including open sourcing building footprint data, joining as a corporate member, sponsoring events and hosting internal MissingMaps Mapathons across the company. This presentation will highlight Microsoft's current thinking around OpenStreetMap as well as some of the implementation challenges within a 120,000+ person corporation spread across ten divisions.
Mappings Between the Maps
Tim Smith, Microsoft
Microsoft has been connecting the dots between the worlds of map data. Through our machine learning powered conflation engine, we're blurring the lines between different geospatial projects, and helping to find patterns in the data across projects. This talk will outline our process for generating linkages between various sets of disparate data and how those mappings might be useful to the OSM community.
Cygnus - conflation at your fingertips
Mihai Iepure, Telenav
In our quest of improving OSM, the Telenav mapping team comes across various official data sources that contain valuable information for adding in OSM. Being able to use the data we find requires a tool that compares an external file with the current OSM data. In the GIS world this process is called conflation. This is where Cygnus comes in! The core role of this tool is to conflate, in a non-destructive way without deleting or degrading existing OSM data, external data with OSM. Cygnus will output a JOSM XML format file with all the changes that can be loaded in JOSM, carefully analyzed and uploaded to OSM. In this talk, we will show you how we do it, and how you can use Cygnus too.
Extracting Map Data with Computer Vision
Sandra Uddbäck, Mapillary
A behind-the-scenes look at computer vision technology used to generate map data at scale from street-level imagery. At Mapillary we collect images from a wide range of sources and make them available to OpenStreetMap in the iD and JOSM editors. We also make lots of machine-generated map data available to the community. This visual lightning talk shows how this is done behind the scenes and how you can access the data for OpenStreetMap editing.
A Thousand Maps in Your Pocket
Minh Nguyen
OpenStreetMap’s potential impact is greatest on mobile devices. But mobile platforms pose numerous barriers to viewing and editing, from screen size to multitouch to battery constraints. Learn how Mapbox has been tackling these constraints and what challenges lie ahead.
Improving the Map Using ImproveOSM
Beata Tautan-Jancso
ImproveOSM is a suite of tools that exposes the results of a massive data analysis comparing huge amount of GPS data point with OpenStreetMap data and displays them in a way that makes it easy for anyone to improve the map with missing roads, turn restrictions and one-ways. The first version of the ImproveOSM plugin was released in 2015 September, since then we had improved our detections and added new features to the plugin. In this lighting talk we will present the plugin new features and how to use it effectively for mapping.