I am now pursing the Ph.D. degree in the Department of Mechanical Engineering, The Hong Kong Polytechnic University. I am very fortune to be advised by Dr. Xiang Yu and Prof. Li Cheng.

I graduated from the School of Transportation Science and Technology, Harbin Institute of Technology with a bachelor’s degree and from the School of Qilu Transportation, Shandong University with a master’s degree.

My research interests includes audio-visual localization, physics-informed neural network, obejct detection, objetc tracking, and semantic segmentation. I have published 10+ papers at the top international conferences and journals. I am also the reviewer of IEEE Transactions on Instrumentation and Measurement and Automation in Construction. If you are seeking any form of academic cooperation, please feel free to email me at devin.pi@connect.polyu.hk.

🔥 News

  • 2023.09 🎉🔥⭐️ My google scholar citations have exceeded 100!
  • 2023.05 🎉 The Ph.D. journey begins!

📝 Publications

🚗 Object Detection & Tracking

Sensors (2023)
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A Novel Real-Time Autonomous Crack Inspection System Based on Unmanned Aerial Vehicles
Kwai-Wa Tse, Rendong Pi, Yuxiang Sun, Chih-Yung Wen et al.

  • This work proposed a system based on unmanned aerial vechicle can successfully detect and classify various types of cracks.
IEEE TIM (2022)
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Object Tracking Based on the Fusion of Roadside LiDAR and Camera Data
Shujian Wang, Rendong Pi, Jian Li, Xinming Guo et al.

  • This work proposed a method to achieve object tracking based on the fusion of roadside LiDAR and camera data.
IEEE SJ (2021)
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Augmented Multiple Vehicles’ Trajectories Extraction Under Occlusions With Roadside LiDAR Data
Xiuguang Song, Rendong Pi, Chen Lyu, Jianqing Wu, et al.

  • This paper proposed a method to conduct trajectories extraction under occlusion situation with roadside LiDAR data.
Sensors (2020)
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Vehicle Detection Under Adverse Weather from Roadside LiDAR Data
Jianqing Wu, Hao Xu, Yuan Tian, Rendong Pi.

  • This paper proposed a data processing method to achieve background filtering and object cluistering for roadsise LiDAR data under adverse weather (snow and wind).

🏗️ Building Materials

CBM (2021)
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The stability and durability of silt-based foamed concrete: A new type of road engineering material
Jianqing Wu, Chen Lyu, Rendong Pi, Hongbo Zhang et al.

  • This paper implements four types of tests under three designed wet densities, including drying-wetting cycles test, freeze–thaw cycle test, water stability test, and dry shrinkage test, to analyze the strength change law of silt-based foamed concrete after a specified age or a number of cycles.

🎖 Honors and Awards

  • 2022.03 Outstanding Graduates, in Shandong Province
  • 2021.10 National Scholarship (Postgraduate)
  • 2019.09 The First Prize of Postgraduate Scholarship, at Shandong University

📖 Educations

  • 2019.06 - 2022.04, Master, School of Qilu Tranportation, Shandong University, Jinan.
  • 2014.09 - 2018.06, Undergraduate, School of Transportation Science and Technology, Harbin Institute of Technology, Harbin.

💬 Invited Talks