Innovators at Ordnance Survey’s Geovation Hub, a group ranging from Big Data users providing insurance risk analysis for drone flights to the makers of collaborative real-time infrastructure planning tools, will deploy Trimble® Catalyst software-defined GNSS receivers for select Android mobile devices.
The mobile devices, using Trimble GNSS software and antenna technology, will enable users to capture physical, real-world positioning data ranging from meter- to centimeter-level accuracy based on their subscription. The Geovation Innovators will also be granted access to Trimble’s subscription-based on-demand positioning services, which enable the receivers to obtain high-accuracy positioning by using data from OS’s OSNet for the necessary corrections. It is hoped entrepreneurial imagination aligned with Trimble’s precision will increase the future value and flexibility of geospatial information.
This news follows Trimble’s January announcement of an in-kind gift that includes hardware and software solutions to The University of Massachusetts Amherst to help the University expand its leadership in 3D building design, digital fabrication and the sustainable built environment.
Head of Geovation, Alex Wrottesley, related that whether it’s planning Smart Cities, a future that includes driverless vehicles or the next-generation of superfast networked communications, accurate, trusted geospatial information will always be key. Trimble has given Geovation a fantastic gift that is going to push in unexpected and exciting directions. Trimble Catalyst is small enough to fit in a car glove box or rucksack, so the spontaneity it offers will hopefully lend itself to great creativity and business ideas.
Chris Gibson, Vice President, Trimble Regional Development and Executive Accounts, added that his company is pleased to collaborate with the Geovation Hub to aid innovation for the geospatial industry. This software GNSS technology is a game-changer for enabling new applications that combine high-accuracy positioning with geospatial data.
