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Connected Autonomous Vehicles with Cooperative Sensing and Mobile Edge Computing

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Connected autonomous vehicles (CAV) is an emerging and promising technology to tackle road safety and pollution problems, but also faces many technical challenges. In this project we propose cooperative sensing for CAVs, which exploits the increasingly powerful but underused computing and sensing resources of CAVs to improve sensing accuracy and range. Innovative cooperative sensing based road safety and efficiency applications will be developed and tested, such as cooperative advanced driving assistance system (ADAS) and cooperative platooning. New vehicle to everything (V2X) communication algorithms will be developed to provide a solid basis for information exchange among vehicles and network infrastructure. Innovative research will be conducted on cutting-edge 5G V2X networks, intelligent transport systems (ITS), autonomous driving, deep learning and mobile edge computing technologies. The project has external collaborators, including Huawei, Birmingham City Council (BCC) and Ranplan. It also benefits from international collaboration with the international partners of Horizon2020 project COSAFE (
Collaborators: Ranplan, Huawei, Birmingham City Council

Further information:

Funding Notes

The studentship provides a maintenance allowance (currently £14,777 per year) and covers tuition fees at the home/EU level. Applicants from outside the EU are welcome but they will need to pay the difference between the home/EU and international fee levels; that difference is currently £12,290/year.

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