Crowdsourcing av kartbilder
|Bidrag från Vinnova||1 720 000 kronor|
|Projektets löptid||december 2013 - augusti 2017|
Syfte och mål
The project aimed at removing risk factors in the early stages of trying to develop new technology and business models for crowdsourced mapping. As a successful outcome, we stipulated that if we could take the initial results and develop that into an independent company on a global market, this would be deemed success. Today, Mapillary has collected 188M images in 190 countries and extracted over 14 billion map objects using computer vision algorithms. Many global mapping providers use the service for improving maps and 2017 saw the beginning of real customer revenue.
Resultat och förväntade effekter
One goal of the project was to see if it was possible to generate quality map data from images collected by anyone, using e.g. smartphones. This has been validated and we can report that such data is now available and automatically generated by the company at scale world-wide. The effects of this is that we help enable smarter cities, safer vehicles, and better maps.
Upplägg och genomförande
The project was planned with periods and milestones, with reporting and goal setting for the next period in between. - Data collection and quality - Business model - Licensing, partnerships, and commercialization The crowdsourced model picked up momentum and quickly generated lots of data and validation. Technically generating map data from these images took longer time than expected, but succeeded in the end. B2B licensing of images and data, was the outcome of the business model exploration.