AI simulation for autonomous testing
Ordnance Survey (OS) is one of 11 partners in OmniCAV, a £3.9m project to develop a world-first artificial intelligence-based simulation model for testing autonomous car safety.
The simulation environment will feature a 32km circuit of Oxfordshire roads, covering rural, urban, main roads and intersections. The simulation will be used to create and run different scenarios for the safe testing of CAVs, and will support certification bodies, insurers and manufacturers.
OS will lead the capture, processing and serving of geospatial high-resolution mapping data. This will include 3D geometry and information about the roadside assets and its characteristics, so that data standards and requirements can be developed for the real-world deployment and operation of CAVs.
Miranda Sharp, head of innovation at Ordnance Survey, said, ‘Building on the unique strengths of OS capability and data, the aim for OmniCAV is to help accelerate the safe deployment of autonomous vehicles on UK roads by permitting testing in linked versions of the real-world environment and a digital one. To achieve the CAV ambition, geospatial data is key. Not just to the creation of a realistic simulation environment to test in, but also to the eventual deployment of a new infrastructure to enable improved connectivity and mobility. It’s an exciting time for technology and innovation and we’re looking forward to working with our partners and helping make the UK a world leader in this area.’
The OmniCAV project is part of a wider £12.1m UK government funding package to support the development and nation-wide deployment of Connected and Autonomous Vehicles (CAVs).
