Partners: AptCore Limited (Lead), Garfield Microelectonics Limited, Plextex Services Limited, Cambridge Sensoriis Limited.
This project will result in a High-Performance Imaging Radar for Highly Automated Vehicles.
This addresses a gap in the CAM Supply Chain UK, and will facilitate higher resolution, more robust, lower cost systems that perform across a wider range of weather conditions.
Autonomous vehicles use a range of sensors to feed data to the perception system – typically radar, lidar and cameras. Lidars, due to their high resolution, are heavily relied upon but are fragile and suffer from loss of performance as weather conditions deteriorate. Ongoing development, over the last few years has not improved this significantly. Radar is more robust and less prone to effects of weather, and also more cost effective, but resolution limits usage.
The vision is to develop a High-Performance Imaging Radar compliant to automotive standards, that reduces reliance on lidar, removing the need for it altogether in some cases. This requires the ultimate in performance from front-end antenna and analogue design which are looked after by Plextek and Cambridge Sensoriis. It also requires a step up in the digital signal processing performance which will require improvements to AptCore’s radar processor design and moving it to a silicon implementation using Garfield’s expertise to facilitate further performance improvements and reduce system cost.
Objectives are therefore to:
Innovations include:
Focuses on creating an autonomous dolly for airside cargo movements.
Provides a toolset that helps to efficiently identify, define and execute the test requirements for an ADS.
Aims to deliver a universal and affordable drive-by-wire system that replaces traditional mechanical linkages with electronic ones.
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.
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.
DeepSafe aims to support the verification and validation (V&V) of automated driving systems (ADS).
A safety assurance framework for the safe deployment of AI in self-driving technology across all driving domains.
Aims to enable accurate representation of ADS sensors in simulation.
Focuses on the development of a modular dual redundant steer-by-wire system for heavily automated and electric vehicles.
A ‘plug-and-play’ roadside connectivity solution.
To learn more about the CAM Supply Chain UK competition and the remarkable projects that have been awarded, contact competitionsupport@zenzic.io
{{ teamMember.name }}
{{ teamMember.title }}