Partners: Titan Motorsport & Automotive Engineering Limited (Lead), Alexander Dennis Limited, TRL Limited.
Titan, Alexander Dennis and TRL will work together at their sites in St Neots, Farnborough and Crowthorne to develop and demonstrate an electric steering system for bus and other heavy commercial vehicle applications.
An approach will be developed that provides a flexible and cost-effective approach to enabling innovative low volume manufacturers to bring autonomous steering features to market quickly and safely.
Advanced safety features will be designed-in from the start and verified through laboratory and proving ground testing with the aim of creating a system that is capable of supporting up to Level 5 autonomy.
A new electric steering system will be designed and manufactured that augments the conventional hydraulic power steering of the demonstrator bus. Taking commands from an automated driver system, this electric steering system will be capable of controlling the steering and providing a level of assistance in case the hydraulic system should fail.
This prototype electric steering system will be fitted to an advanced autonomous-capable bus to create a mobile testbed, enabling the capabilities to be thoroughly tested and demonstrated. Demonstrations are planned for spring 2025.
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.
DeepSafe aims to support the verification and validation (V&V) of automated driving systems (ADS).
Provides a toolset that helps to efficiently identify, define and execute the test requirements for an ADS.
Aims to develop advanced position and navigation sensors that work reliably in various environments.
A fully redundant, fail-operational Drive-by-Wire technology platform to enable safe driver-out, on-road autonomous vehicle capability.
Aims to develop an AV capable of safely driving in residential, urban, and rural environments.
Focuses on creating an autonomous dolly for airside cargo movements.
A collaborative initiative to create an affordable, robust navigation system for automated vehicles.
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.
Aims to enable accurate representation of ADS sensors in simulation.
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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