Intelligent recognition of weak discontinuities on outcrops of hard rock masses
aState Key Laboratory of Deep Earth Exploration and Imaging, College of Construction Engineering, Jilin University, Changchun, 130026, China
bKey Laboratory of Geophysical Exploration Equipment of Ministry of Education of China, Jilin University, Changchun, 130026, China
cBadong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan, 430074, China
dSchool of Computing and Mathematical Sciences, University of Leicester, Leicester, LE17RH, UK
eFaculty of Engineering Sciences, University College London, London, W1W7TY, UK
fChina Railway Siyuan Survey and Design Group Co., Ltd., Wuhan, 430063, China
* Corresponding author. State Key Laboratory of Deep Earth Exploration and Imaging, College of Construction Engineering, Jilin University, Changchun, 130026, China.
E-mail address:
litengyue@jlu.edu.cn (T. Li).
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Tengyue Li obtained his BSc degree in Electronic Information Science and Technology, his MSc degree in Optical Engineering, and his PhD degree in Intelligent Information and Communication Systems from Ocean University of China in 2013, 2015, and 2022, respectively. He conducted his postdoctoral research from 2022 to 2024 at Jilin University, China. Currently, he is a lecturer at Jilin University. His research interests include (1) intelligent engineering geology, (2) rock mass discontinuity recognition, (3) 3D reconstruction for high steep slopes using UAV-based vision, and (4) robotics technology. Dr. Li once received funding from the China Scholarship Council and the Ocean University of China Scholarship to conduct image analysis research at the University of Leicester, UK, in 2021.
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