ALEAD - Artificial Learning Environments for Autonomous Driving
Lead Participant:
CGA SIMULATION LIMITED
Abstract
"ALEAD is a digital environment that provides Autonomous Vehicles a virtual space to learn in and so save money and time for the companies developing those systems.
CGA will produce a testing environment that encompasses sensors, vehicle modelling, and an example autonomous driving system. A candidate autonomous vehicle can be placed into a simulated driving test and will subjected to the most demanding environmental conditions and extreme events; fog, debris in the road and unpredictable vehicles, pedestrians and cyclists.
We believe that by creating a highly realistic simulator of an urban environment based on real road networks and containing a variety of simulated driver behaviours it will be possible to produce results that are good enough to train systems used for driverless cars."
CGA will produce a testing environment that encompasses sensors, vehicle modelling, and an example autonomous driving system. A candidate autonomous vehicle can be placed into a simulated driving test and will subjected to the most demanding environmental conditions and extreme events; fog, debris in the road and unpredictable vehicles, pedestrians and cyclists.
We believe that by creating a highly realistic simulator of an urban environment based on real road networks and containing a variety of simulated driver behaviours it will be possible to produce results that are good enough to train systems used for driverless cars."
Lead Participant | Project Cost | Grant Offer |
---|---|---|
CGA SIMULATION LIMITED | £739,980 | £ 517,986 |
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Participant |
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DYNAMIC DEVICES LIMITED | ||
FUTURE CODERS LIMITED | £101,079 | £ 70,755 |
UNIVERSITY OF LIVERPOOL | ||
INNOVATE UK | ||
UNIVERSITY OF LIVERPOOL | £157,577 | £ 157,577 |
People |
ORCID iD |
Jonathan Wetherall (Project Manager) |