Zhang Fei

Shanghai Jiao Tong University

Papers

3

Total Citations

69

H-Index

3

About

Dr. Zhang Fei is a leading researcher in robotics and autonomous systems, with a primary focus on mobile robot navigation and perception. His foundational work in simultaneous localization and mapping (SLAM) has been highly influential, as evidenced by his 2005 review paper, which has garnered 19 citations for synthesizing key achievements in enabling robots to build maps and localize themselves in uncertain environments. Dr. Fei further advanced the field by developing constrained motion models for mobile robots, a 2009 paper with 18 citations that formalized the interplay between robot mobility and perceptivity for tasks like target detection and dynamic coverage. More recently, he has applied his expertise to critical infrastructure inspection, authoring a 2022 paper (32 citations) on the DCPLD-Net, a diffusion-coupled convolutional neural network for real-time power transmission line detection from UAV-borne LiDAR data. This work demonstrates his ability to bridge theoretical robotics with practical, high-impact applications in energy sector monitoring. Dr. Fei’s career reflects a sustained commitment to solving fundamental challenges in robot autonomy and deploying those solutions for real-world societal benefit.

Research Focus

Key Achievements

3
H-Index
3
Papers
69
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
DCPLD-Net: A diffusion coupled convolution neural network for real-time power transmission lines detection from UAV-Borne LiDAR data
32 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago