The vehicle, known as Auto-Cargo can transport a standard full-size cargo pallet or two half-size aviation industry standard containers or Unit Load Devices (ULD) up to a total load of 7.5 tonnes and is designed to tow a further fully loaded cargo trailer behind it.
The fully electric, autonomous technology will enable the limited numbers of security-cleared drivers to be freed-up to perform other roles around the airport, while also producing zero tail pipe emissions.
Aims to develop advanced position and navigation sensors that work reliably in various environments.
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.
Aims to enable accurate representation of ADS sensors in simulation.
Aims to deliver a universal and affordable drive-by-wire system that replaces traditional mechanical linkages with electronic ones.
A ‘plug-and-play’ roadside connectivity solution.
A safety assurance framework for the safe deployment of AI in self-driving technology across all driving domains.
Aims to develop a high-performance imaging radar product specifically designed for AVs.
Provides a toolset that helps to efficiently identify, define and execute the test requirements for an ADS.
DeepSafe aims to support the verification and validation (V&V) of automated driving systems (ADS).
Focuses on the development of a modular dual redundant steer-by-wire system for heavily automated and electric vehicles.
A fully redundant, fail-operational Drive-by-Wire technology platform to enable safe driver-out, on-road autonomous vehicle capability.
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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