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Intelligent Vehicles

We aim to make technology work for real cars, with real people, in real time

The concept of autonomous or 'driverless' vehicles promises many benefits for future transport but also brings significant challenges. We have started to see the first steps towards autonomy in the market with product features such as automatic parking and emergency braking systems, as well as many automotive OEMs producing working prototypes of fully autonomous vehicles. However, there are considerable challenges to be overcome before fully autonomous vehicles move from concept to commercialisation. Our Intelligent Vehicles research group works with industrial partners to address research challenges with industrial releveance.

Working across four themes, we also draw upon further capability from across WMG. We lead a number of major programmes and facilities that act as enablers for accademic research with industrial relevance. We also address the CAV skills gap through education programmes.

Themes and capabilities

We take a multidisciplinary approach to autonomous vehicles in order to understand the full research and practical implications.

Further related research capabilities include:

Centre for Applied Artificial Intelligence, Energy and Electrical Systems, Experiential Engineering, Cyber Security, Supply Chains, Visualisation.

Facilities and major programmes

WMG Centre HVM Catapult

Our work in Intelligent Vehicles forms a key part of our WMG centre High Value Manufacturing Catapult programme.

Drive-in Automotive Simulator

The world's first immersive, simulated environment for smart and connected vehicles which includes full emulation of wireless communications

Midlands Future Mobility

WMG is leading an ambitious consortium of eight partners to develop a unique environment that will enable the testing of new automotive and communications technologies across over 50 miles of West Midlands roads.

Education

MSc Smart, Connected and Autonomous Vehicles (SCAV)

Through this Master's course, we aim to address the knowledge-gap in the areas of machine learning, automated control strategies, connectivity, and communication infrastructure, cyber-security protocols, emerging automotive networks and robust automotive embedded systems within the context of smart, connected and autonomous vehicles.

Contact information:
Group lead

Professor Paul Jennings

Engineering lead


Intelligent Vehicles group full team


Vacancies

 

Enquiries
Katharine Widdows