Formula 1 driving simulation technology could help put the UK on the fast track to self-driving vehicles
A new research programme by WMG at the University of Warwick, and XPI Simulation, co-funded by Innovate UK, is examining the potential for applying the simulation technology used to train Formula 1® drivers for the testing and certification of autonomous vehicles. The market for such vehicles is expected to reach £52 billion by 2035, according to government figures.
The new research could dramatically reduce the time to market, helping manufacturers to achieve the UK government’s vision for self-driving vehicles to be operating on our roads as early as 2021.
Several manufacturers are already testing their vehicles on public roads, with mixed results. One of the problems is the volume and repeatability of testing. Carrying out such testing on controlled tracks or on-road presents significant cost and safety challenges – as well as requiring huge amounts of mileage to be driven to gather evidence.
Transport Minister visits WMG to launch Call for Evidence on the Future of Mobility and announce 6 research projects on autonomous vehicles
Jesse Norman MP, Parliamentary Under Secretary of State for the Department for Transport, visited WMG today (Monday 30th July 2018) to launch the Government’s “Call for Evidence on the Future of Mobility”. He announced six Innovate UK funded autonomous vehicle research projects, saying:
“We are beginning to experience profound change in how we move people, goods and services around the UK’s cities, towns and countryside. The Future of Mobility Grand Challenge – part of the Government’s Industrial Strategy - aims to capitalise on the opportunities presented by these changes to help reduce emissions, improve safety and wellbeing and place the UK at the forefront of global transport innovation. The Call for Evidence will help inform this programme, and seeks views from a range of audiences right across the country.”
Two of the six research projects he announced involve WMG, at the University of Warwick, with a total of £4.1m in research funding from Innovate UK
Midlands Future Mobility will use over 50 miles of Coventry and Birmingham roads to establish the Midlands as a world class UK centre for the development, and evaluation of, connected and autonomous vehicles (CAV) and related technologies and services.
Midlands Future Mobility will be at the heart of the UK’s transport network, making a significant contribution to the UK’s national transport strategy, and will play a crucial role in shaping the transport sector. It will firmly establish the UK’s presence in the connected and autonomous vehicle market, and contribute to the UK’s Industrial Strategy.
The specially selected networked roads cover a range of representative areas and will be the largest, most diverse testing environment in the UK, with the deployment of new roadside infrastructure including smart vehicle monitoring, data analytics and 5G ready wireless infrastructure. By using real-world environments Midlands Future Mobility will enable a variety of industries to test new vehicle technologies and services, with the aim of improving integration.
Mobile telecommunication operators, infrastructure suppliers, car manufacturers, and local councils are all seeking to understand the benefit from the leap in bandwidth promised by 5G technologies, and are lining up to use the very latest 5G evaluation technology now available at the University of Warwick.
WMG at the University of Warwick has just acquired the UK’s most advanced diagnostic and testing platform for a key part of the 5G spectrum - mmWave. This technology promises to deliver a step change in the amount of data that can be wirelessly transmitted, opening up opportunities for a range of new services and products, including those associated with enabling connected and autonomous vehicles (CAVs).
This has been provided by a £250,000 WMG Centre HVM Catapult award for facilities and people alongside an equipment collaboration with National Instruments (NI) for their mmWave technology platform.
WMG’s Connected and Autonomous Vehicles research team are already working with a range of industrial partners on connectivity, verification and validation, and the understanding and optimisation of user/customer interaction with driverless technology. This new facility will further enhance WMG’s vison to be the UKs “go to” CAV development platform providing unrivalled research and testing that will accelerate product introduction, infrastructure design and implementation. The technology developed will be transferable to other sectors beyond automotive.
Intelligent vehicles and smart devices could gain more accurate location awareness by ‘fusing’ Global Navigation Satellite Systems (GNSS) and WiFi signals – and a test for this is the focus of an Innovate UK project led by Spirent Communications and involving WMG at the University of Warwick.
The £694k ‘Enhanced Assured Location Simulator Leveraging WiFi and GNSS Sensor Fusion’ (ELWAG) project will seek to develop to test this pioneering hybrid WiFi and GNSS location system in a cost-effective, repeatable and safe environment – so that manufacturers can verify its performance.
Researchers at WMG, led by Dr Matthew Higgins, will play a significant role in the project. They will take physical layer measurements of both Wi-Fi and GNSS signals in Autonomous Vehicle scenarios, in and around the University of Warwick campus and the local urban road network.
WMG, at the University of Warwick, are the academic research leads in a new £2 million Innovate UK funded research programme that will help create new forms of technological assistance to help drivers to avoid collisions and accidents.
We are delighted to announce that one of our PhD students, Siddartha Khastgir, has been recognised as part of the prestigious FORBES 30 Under 30 Europe Industry list.
Siddartha joined other ‘young disruptors’ at an exclusive launch event in London last night (Monday 22 January 2018), to celebrate the brightest young entrepreneurs and breakout talent in Europe.
Siddartha sits within the Intelligent Vehicles team at WMG working under the supervision of Professor Paul Jennings on ‘Developing testing methodologies for ensuring safety of autonomous vehicles and his work is influencing international standards.’
In June 2017 he was elected to the respected IMechE Council of Members. He also holds a number of other key positions at IMechE too, as Chair of the IMechE International Young Member Committee, and as a member of the International Strategy Board of IMechE.
In April he also received the prestigious ITS UK national award for Young Professional of the Year in the field of Intelligent Transportation Systems (ITS), and more recently he was declared the UK’s leading engineer under 30 at the TechWorks Awards.
Roads in Coventry and Birmingham are set to become a world-class UK testbed for developing the next generation connected and autonomous (CAV) vehicles, thanks to a new £25m programme of investment being led by WMG at the University of Warwick.
The pioneering venture, undertaken by a consortium of research and industry partners, will make UK roads ready for CAVs by developing wireless networks, analysing how vehicles behave in real urban environments and involving the public in their evaluations.
The UK Central CAV Testbed will be based on 80 kilometres of urban roads in Coventry and Birmingham, creating a world-leading connected infrastructure and eco-system, and positioning the Midlands as a centre for cutting-edge automotive and communication technologies.
Autonomous vehicles will learn some of the swarming skills, as used by birds and insects, thanks to a new research programmes involving WMG at University of Warwick.
WMG at the University of Warwick will receive just over half a million pound from Innovate UK for its part in the £2m programme in which it will partner with autonomous pod manufacturer RDM Group, and Milton Keynes Council to create Swarm Intelligence for autonomous pods.
The concept is based on fusing together existing information from other autonomous vehicles a fleet of pods to allow each pod to locally decide the most appropriate action for the group as a whole – similar to how insects and birds currently behave.
This means that pods can highlight any unexpected behaviour to a supervisor, as well as enabling ‘platooning’, where vehicles follow each other when possible to minimise the number or individual vehicle movements. The technology also enables the system automatically adapt its behaviour to meet the demand so that Pods can be optimally distributed within a city to the areas where they are most likely requested.