Projects per year
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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- 2 Finished
1/06/19 → 31/12/21
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
Ultrasonic and IMU based high precision UAV localisation for the low cost autonomous inspection in oil and gas pressure vesselsYang, B., Yang, E., Yu, L. & Niu, C., Oct 2023, In: IEEE Transactions on Industrial Informatics. 19, 10, p. 10523-10534 12 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile19 Downloads (Pure)
AMCD: an accurate deep learning-based metallic corrosion detector for MAV-based real-time visual inspectionYu, L., Yang, E., Luo, C. & Ren, P., Jul 2023, In: Journal of Ambient Intelligence and Humanized Computing. 14, 7, p. 8087-8098 12 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile