Jianwei Wan

National University of Defense Technology

Papers

Total Citations

H-Index

About

Jianwei Wan is a researcher whose work spans 3D computer vision and multi-robot systems, with a focus on advancing perception and coordination technologies. His most cited paper, "Benchmark datasets for 3D computer vision" (2014, 25 citations), provides a foundational resource for evaluating algorithms in range image processing, supporting applications from robotics to medical imaging. This contribution helps standardize performance comparisons in a rapidly evolving field. Earlier, Wan explored cooperative localization in "Cooperative localization method for multi-robot based on PF-EKF" (2008, 6 citations), integrating particle filters and extended Kalman filters to improve multi-robot positioning accuracy—a key challenge in autonomous systems. While his citation counts reflect a focused impact, his work on benchmarking datasets offers lasting value to the 3D vision community, enabling researchers to validate their methods against consistent standards. Wan’s research bridges practical engineering and theoretical innovation, making him a contributor to the foundational tools that drive progress in computer vision and robotics.