Partners: Claytex Services Limited (Lead), University of Warwick, National Physical Laboratory, Syselek (UK) Limited, Compound Semiconductor Applications Catapult Limited, RFPRO Limited, Oxford RF Solutions Limited, TechWorksHub Limited.
This project aims to enable accurate representation of ADS sensors in simulation. It will develop a sensor evaluation framework that spans modeling, simulation, and physical testing.
A collaborative initiative to create an affordable, robust navigation system for automated vehicles.
Aims to develop an AV capable of safely driving in residential, urban, and rural environments.
A fully redundant, fail-operational Drive-by-Wire technology platform to enable safe driver-out, on-road autonomous vehicle capability.
Provides a toolset that helps to efficiently identify, define and execute the test requirements for an ADS.
A ‘plug-and-play’ roadside connectivity solution.
Aims to deliver a universal and affordable drive-by-wire system that replaces traditional mechanical linkages with electronic ones.
Focuses on creating an autonomous dolly for airside cargo movements.
Aims to develop advanced position and navigation sensors that work reliably in various environments.
A safety assurance framework for the safe deployment of AI in self-driving technology across all driving domains.
Focuses on the development of a modular dual redundant steer-by-wire system for heavily automated and electric vehicles.
DeepSafe aims to support the verification and validation (V&V) of automated driving systems (ADS).
Aims to develop a high-performance imaging radar product specifically designed for AVs.
To learn more about the CAM Supply Chain UK competition and the remarkable projects that have been awarded, contact competitionsupport@zenzic.io
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