Our Intelligent Vehicles group
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 features like automatic parking and emergency braking systems, as well as working prototypes of fully autonomous vehicles. However, there are considerable challenges to be overcome before fully autonomous vehicles move from concept to commercialisation - this includes:
- Technical solutions which are affordable and dependable
- The legal and ethical framework
- Customer acceptance and understanding of the technology
A critical success factor will be improving public confidence in the safety, cyber security and robustness of autonomous vehicles.
Our research aims to understand and inform this trust in autonomous control and intelligent features.
We are also partners with Jaguar Land Rover and Tata Motors on the National Automotive Innovation Centre on campus.
What will you be doing?
If you choose the Smart, Connected and Autonomous Vehicles pathway you'll have the chance to:
- Conduct applied research into improving the reliability and safety of Smart, Connected and Autonomous Vehicles (CAV). You will be part of a team that are developing models for sensors, simulated environments, investigating the use of Artificial Intelligence, control systems and test methods to accelerate the introduction of future autonomous and connected vehicles.
- Understand customer usage and behaviour around intelligent vehicles, and the legal and ethical frameworks. You can access a state-of-the-art 3XD Simulator for Intelligent Vehicles, a unique driving simulator platform for the evaluation of CAV.
- Work alongside doctoral students in differing fields of CAV research, from human factors, to communications, to virtual validation. Evaluate new technology and understand user interaction.
Is this for you?
This is a highly multidisciplinary area, so a minimum 2.1 degree level qualification in Engineering, Maths, Physics, Chemistry, Statistics or Computer Sciencewould enable you to contribute in a meaningful way.
Our related research capabilities include:
- Energy and Electrical Systems: Complex electrical systems / software - e.g. technology testing and development
- Experiential Engineering: human factors, how users interact with and react to new vehicle / road environments
- Cyber Security: Security of vehicles connected to the internet, other vehicles and their environment
- Supply Chains and Service Systems: New business opportunities afforded by autonomous technologies
- Driver / Health Monitoring: Direct sensing and monitoring technology, driver behaviour / health state
Join our team and help make a real difference to smart mobility, transport, new business opportunities and the driving experience as we know it.
Want to find out more?
Find out about some of the projects we're undertaking and the people leading them here