OS turns to machine learning to derive street-level mapping data


Great Britain’s national mapping agency, Ordnance Survey, already has some of the most detailed maps in the world. But now, the geospatial service provider is looking to mine extra details and features from aerial imagery and mapping data to facilitate the advancement of new technologies like autonomous vehicles and 5G.

Through a partnership with the Science and Technology Facilities Council (STFC) Hartree Centre, OS has gained access to a supercomputer named Scafell Pike, capable of performing 3.4 quadrillion calculations per second. OS will be training Scafell Pike to detect features like rooftops, roof types, solar panels, street furniture and further street-level data using machine learning and artificial intelligence technologies.

Quality assurance will be central to this project because the mapping agency wants the broader scientific community to be able to leverage the standards OS establishes. This is why OS will be building on its previous experience with ML and AI technologies wherein it captured and accurately mapped 373,919 km of England’s farmland hedges to create a new digital dataset for the Rural Payments Agency. That project, deployed in collaboration with Microsoft, saw a machine learn and identify different roof types. And it went from zero to 87% accuracy in just five days.

Ordnance Survey Chief Operating Officer John Clarke expects the new street-level mapping data to unlock new opportunities for a variety of industries. “Already we see this can be valuable in providing agricultural information, improving how as a nation we better manage our environment and how we can make successful, efficient smart cities,” John says.

“The World Bank estimates that only 25-30% of all land in the world is mapped and registered. The impact of this is tremendous considering the follow-on impact that having land mapped and registered gives (land ‘gets’ a value since it can be mortgaged, women’s rights, socio-economic impact, foreign direct investments and much more). What we’re hoping to develop can help overcome this.”

Ishveena is a geospatial enthusiast and a freelance technology writer who has been named among Geospatial World's 50 Risings Stars 2021. With 13 years of mainstream journalism and digital content writing experience, Ishveena is passionate about bringing to the fore the value of location technology to the economy and society. Her clients include GIS corporations, proptech companies, fintech leaders, and some of the world's top drone manufacturers and service providers.



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