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Dubbed “RoboPilot”, the project will see Charge Automotive lead a consortium, including Tessolve, to bring autonomous racing technology to the light commercial vehicle market and demonstrate SAE level 4 autonomy.
RoboPilot features in the second stream of Connected and Autonomous Vehicle (CAV2) projects that were recently awarded £31m of Innovate UK led funding. The CAV2 projects are focused in the areas of vehicle energy reduction and air quality improvements.
Tessolve will work to accelerate the ‘safety’ components of the consortiums vision, working with partners on the verification and validation of the complex cyber physical systems involved in autonomous vehicle deployment.
RoboPilot combines input from sensors around the vehicle such as radars, cameras, ultrasonics and lidars (light sensors to measure the distance to a target object) with mapping, artificial intelligence and fleet information, which is then acted on by autonomous software.
The project will initially develop & demonstrate autonomous driving functionality for an electric delivery van, which can then be adapted and rolled out to larger trucks and buses.
Mike Bartley, CEO and Founder of Tessolve said, “It is great to have our expertise in the verification and validation of advanced driverless technology recognised by Innovate UK. We look forward to working with our consortium partners to spearhead the development of the UK’s world-leading autonomous vehicle technology.”
Tessolve Contribution
- Charge Automotive Ltd (Lead)
- AXA UK plc
- Loughborough University
- University of West of England
- University of Bristol
- UPS UK Ltd
- South Gloucestershire Council
- Test and Verification Solutions Ltd
- Thales UK Limited
About CAV
The Centre for Connected and Autonomous Vehicles (CCAV) is a joint unit of the department for Business, Energy and Industrial Strategy and the Department for Transport. CCAV is a single point of contact for those in industry, academia and internationally set up to keep the UK at the forefront of the development of connected and autonomous vehicle technology.
