Projects per year
Personal profile
Personal Statement
Leijian Yu received the B.Eng. degree in electrical information engineering and the M.S. degree in information and communication engineering from China University of Petroleum (East China), Qingdao, China, in 2015 and 2018, respectively. He is currently pursuing the Ph.D. degree in Design Manufacturing and Engineering Management at the University of Strathclyde, Glasgow, UK, since 2018. His current research interests include machine learning with applications on unmanned aerial vehicles (UAV), UAV vision-based autonomous navigation, and image contrast enhancement.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Projects
- 2 Finished
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Deep Learning-Based Smart Autonomous Systems for the Visual Inspection of Asset Integrity in Harsh Environment
1/09/18 → 30/09/21
Project: Research - Studentship
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A novel deep neural network-based emotion analysis system for automatic detection of mild cognitive impairment in the elderly
Fei, Z., Yang, E., Yu, L., Li, X., Zhou, H. & Zhou, W., 11 Jan 2022, In: Neurocomputing. 468, p. 306-316 11 p.Research output: Contribution to journal › Article › peer-review
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High-precision UWB based localisation for UAV in extremely confined environments
Yang, B., Yang, E., Yu, L. & Loeliger, A., 1 Jan 2022, In: IEEE Sensors Journal. 22, 1, p. 1020-1029 10 p.Research output: Contribution to journal › Article › peer-review
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