Zenzic, Ordnance Survey recommend collaborative mapping for connected vehicles

A new report published by Zenzic, the UK’s hub organization for connected and autonomous vehicle (CAV) development, and OS set out what the global standards should be for high-definition (HD) mapping; necessary for the safe deployment of self-driving vehicles.

Zenzic, Ordnance Survey recommend collaborative mapping for connected vehicles
Zenzic, Ordnance Survey recommend collaborative mapping for connected vehicles

Zenzic, Ordnance Survey recommend collaborative mapping for connected vehicles

London: The UK’s national mapping agency, Ordnance Survey (OS), and the government and industry-backed self-driving hub, Zenzic (formerly Meridian), have highlighted the importance of collaborative mapping in the development of self-driving vehicles.

A new report published by Zenzic, the UK’s hub organization for connected and autonomous vehicle (CAV) development, and OS set out what the global standards should be for high-definition (HD) mapping; necessary for the safe deployment of self-driving vehicles. The ‘Geodata report – analysis and recommendations for self-driving vehicle testing’ also calls for the creation of common data standards that promote collaboration and improve confidence in mapping data for automated-driving and autonomous vehicles (AVs).

“The UK’s goal is to be able to benefit from self-driving vehicles on our roads at scale by 2030, a target that requires the development of technologies and tools which do not fully exist today,” commented Zenzic’s CEO, Daniel Ruiz.

“Our report with Ordnance Survey is another stake in the ground for the UK as a leader in the self-driving revolution and shows how the UK is building on its expertise in areas like mapping to drive the world forward.”

Simon Navin, head of innovation programs at OS, said, “Through our work with Zenzic, we are helping define the geospatial and mapping requirements that will accelerate the testing and adoption of self-driving technologies so that the economic and societal benefits can be realized safely and efficiently. We believe that consistent, authoritative and trusted data provides a framework for safe operation, interoperability and open standards development.”