Lixiao Zhang

Sanda University

Papers

1

Total Citations

3

H-Index

1

About

Lixiao Zhang is a researcher focused on intelligent robotics and autonomous systems, with a particular emphasis on pedestrian detection and environmental perception for campus applications. Their most notable contribution is the design and implementation of a pedestrian detection system for the unmanned robot “Sweeper,” developed at Shanghai Sanda University. By employing blob analysis techniques, Zhang enhanced the robot’s ability to detect targets and improve ground cleaning functions, using over 300 campus images to refine the system. This work, published in 2022, has garnered 3 citations, reflecting its niche but practical impact on autonomous sanitation robotics. Zhang’s research bridges computer vision and robotics, offering scalable solutions for smart campus environments. Their achievement demonstrates a commitment to integrating detection algorithms with real-world robotic platforms, paving the way for safer and more efficient autonomous operations in educational settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of Campus Pedestrian Detection based on Unmanned Robot “Sweeper”
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Sanda University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago