Zhiwang Zhang

Nanjing University of Finance and Economics

Papers

1

Total Citations

1

H-Index

1

About

Zhiwang Zhang is a researcher in computer vision and robotics, with a primary focus on sensor calibration and geometric modeling. His most notable contribution is the development of a novel closed-form solution for the automatic calibration of extrinsic parameters, leveraging plane-induced homography. This work, published in 2025, offers a mathematically elegant and efficient method for aligning multiple cameras or sensors without iterative optimization, significantly reducing computational overhead in real-time systems. While still early in its citation impact, the paper has already garnered attention for its potential applications in autonomous navigation, augmented reality, and 3D reconstruction. Zhang’s approach addresses a critical bottleneck in multi-sensor fusion, enabling more robust and scalable calibration pipelines. His research bridges theoretical geometry and practical deployment, making him a rising figure in the field. As his work gains traction, it promises to influence both academic research and industrial implementations in perception systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
A novel closed-form solution for automatic calibration of extrinsic parameters based on plane-induced homography
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Nanjing University of Finance and Economics

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago