Sensing enhancement for intelligent vehicles by AI technique at Loughborough University on FindAPhD.com

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Dr J Jiang, Dr Eve Zhang No more applications being accepted Funded PhD Project (Students Worldwide)

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Loughborough United Kingdom Artificial Intelligence Engineering Mathematics

About the Project

Safety is a prerequisite for the practical application of autonomous driving. Reliable driving perception is essential for achieving safe autonomous driving.

This project aims to develop a series of sensing-enhanced methods enabling improved reliability and safety of autonomous driving. The impacts of natural noise on the intelligent vehicle-sensing system will be studied, including but not limited to raindrops, rain streaks, and fog.

The sensing-enhanced methods will be based on the combination of computationally physical modelling and artificial intelligence for ensuring high-quality perception while satisfying safe autonomous driving. The sensing-enhanced performance of the methods will be analysed and tested in our virtual driving simulator and test platform.

Supervisors

Primary supervisor: Jingjing Jiang

Secondary supervisor: Yuanjian Zhang

Entry requirements for United Kingdom

Applicants should have or expect to achieve at least a 2:1 honours degree (or equivalent international qualifications) in engineering, mathematics or science. A relevant master’s degree and/or experience in advanced AI techniques such as Image recognition, Semantic segmentation, or Object detection would be an advantage.

Experience with Programming using Python, C++, or MATLAB programming is requisite. At the same time, we warmly welcome applicants with experience in virtual traffic scenario simulation and construction.

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the International website.

Find out more about research degree funding

How to apply

All applications should be made online and must include a research proposal. Under the programme name, select 'Aeronautical and Automotive Engineering'. Please quote the advertised reference number AACME-23-030 in your application.

To avoid delays in processing your application, please ensure that you submit the minimum supporting documents.

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Funding Notes

The AACME Studentship competition offers the chance for UK and International applicants who are interested in undertaking a PhD to have their full-time studies paid for.
Applicants could receive full or partial funding for 3-years, including a tax-free stipend of £17,668 (2022/23 rate) per annum, and/or a tuition fee waiver.
Studentships will be awarded on a competitive basis to applicants who have applied to advertised projects within AACME with the reference ‘AACME-23-XXX’ with the end changing depending on the project number allocated. Successful candidates will be notified by the end of March 2023.