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Autonomous driving with intelligent sensing and advanced fusion

Autonomous vehicles as a future trend is emerging. Autonomous driving highly relies on advanced sensing systems consisting of diverse sensors to see the environment thereby achieving safe trajectory planning.

Novel data-processing techniques like sensor fusion are required to process information from multiple data sensors simultaneously in real-time. In this project, high-performance, low-cost sensing system and the cutting edge of signal processing techniques will be investigated to provide more reliable and real-time sensing.

Consequently, the intelligent trajectory planning strategy will be proposed on the basis of the sensing data. State-of-the-art techniques such as machine learning will be applied in trajectory planning.

The successful candidate should hold an Honours Degree or a Master’s Degree in Computer Science, Electronic Engineering, Communications or another relevant subject area. Candidates with knowledge or research experience in autonomous vehicle trajectory planning, mm-wave radar, lidar, sonar, GPS, sensing, signal processing, computer vision, machine learning, and strong programming skills are preferred.

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

  1. Contact the supervisor by email or phone to discuss your interest and find out if you woold be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
  2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
  3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.

Meet the Supervisor(s)


Hongying Meng - Dr Hongying Meng is a Reader with Department of Electronic and Electrical Engineering, College of Engineering, Design and Physical Sciences, Brunel University London. Before that, he held research positions in several UK universities including University College London (UCL), University of YorkUniversity of Southampton, University of Lincoln, and University of Dundee. He received his Ph.D. degree in Communication and Electronic Systems from Xi’an Jiaotong University and was a lecturer in Electronic Engineering Department of Tsinghua University, Beijing in China. He is a Member of Engineering Professors’ Council, and a Fellow of The Higher Education Academy (HEA) in UK. He is a Senior Member of IEEE and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), and a general chair for 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020).

Shaoqing Hu - Dr Shaoqing Hu is a Lecturer and an academic member for Chongqing University of Posts and Telecommunication (CQUPT)  Transnational Education (TNE) programme. Prior to joining Brunel University London, he was the teaching associate and then promoted to teaching fellow with the School of Electronic Engineering and Computer Science, Queen Mary University of London. He is the member of IEEE, SPIE (The international society for optics and photonics) and working committee in UK of China Institute of Communications.  Dr Hu received the B.Eng and M.Eng degrees at University of Electronic Science and Technology of China in 2013 and 2016, and the PhD degree at Queen Mary University of London in 2020. His research interests include antennas, arrays, sparse imaging, millimeter wave/THz security screening and automotive radar. He was the Session Chair of APS/URSI 2020, TPC member of CNIS2023, ICVIP2021, ISAI 2017, ITA 2017, local organizing committee member of 2014 7th and 2019 12th UK/Europe-China Workshop on Millimetre-Waves and Terahertz Technologies (UCMMT). Dr Hu was the recipient of Student Paper Award with IEEE Asia-Pacific Conference on Antennas and Propagation in 2015, and First Prize of Best Student Paper Award with UK-Europe-China Workshop on Millimeter Waves and THz Technologies in 2020. He serves as regular reviewer for many peer-reviewed journals. I am open to PhD applications in the fileds of antennas, microwave/millimeter-wave/THz devices and sparse imaging, and welcome postdoctors and visiting scholars who have the ambition to deliver cutting-edge research output. There are a number of highly competitive international exchange grants, postdoctoral or early career fellowships: The Royal Society Internationl ExchangesEPSRC Postdoctroal Fellowship, Lverhulme Trust Early Career Fellowship, Lverhulme Trust Research Fellowship, Newton International FellowshipsRoyal Academy of Engineering Research FellowshipMarie Sklodowska-Curie Actions. You would be required to have support from Brunel University London as your Host Institution for these applications, along with a very strong research proposal. Feel free to drop me an email with your CV and a research proposal.

Related Research Group(s)

Electronic Systems

Electronic Systems - Investigating processes and mechanisms found in nature to inspire alternative approaches to the design and implementation of intelligent electronic systems.