Speaker
Juan C. Laria
(TomTom)
Description
Improving the quality of our maps, by the early detection of errors that impact end-user experience is key to providing the best map in the market. This talk showcases how statistical learning helps improve the detection of incorrect features in the map, and obtain quality indicators to guide the map editing process. It focuses on an application of a machine learning model for spatial data, describing technologies and how they fit into the end-to-end processes.
| Classification | Mainly application |
|---|---|
| Keywords | classification; GIS |
Primary author
Juan C. Laria
(TomTom)