Zhantao Su

NARI Group (China)

Papers

1

Total Citations

3

H-Index

1

About

Zhantao Su is a researcher advancing intelligent inspection systems for critical infrastructure, with a primary focus on substation automation and 3D point cloud data processing. His most-cited work, "Visual Field Collaboration of Inspection Terminal based on 3D Point Cloud Data of Substation" (2021), addresses a key challenge in modern power grids: enabling cameras and robots to collaboratively and autonomously perform repetitive tasks such as daily inspections, infrared temperature measurement, and meter reading recognition. While previous efforts concentrated on improving object detection accuracy, Su’s contribution lies in integrating 3D spatial data to coordinate multiple inspection terminals, ensuring comprehensive visual coverage and reducing blind spots. This work has garnered 3 citations, laying a foundation for more reliable, automated substation monitoring. By bridging computer vision, robotics, and power engineering, Su’s research directly supports the transition toward smarter, safer, and more efficient energy infrastructure—a critical need as utilities worldwide modernize their grids.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Visual Field Collaboration of Inspection Terminal based on 3D Point Cloud Data of Substation
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: NARI Group (China)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago