Wenfang Ye
Papers
2
Total Citations
30
H-Index
2
About
Wenfang Ye is a researcher specializing in autonomous navigation, mobile robotics, and LiDAR-based simultaneous localization and mapping (SLAM). Their work focuses on enhancing the accuracy and robustness of positioning systems for unmanned ground vehicles (UGVs) and mobile mapping platforms. Ye’s most notable contribution is a seminal paper on 2D LiDAR SLAM back-end optimization using control network constraints, which has accumulated 27 citations and addresses critical challenges in long-term mapping consistency. This work proposes a novel method to reduce drift in SLAM by integrating external control points, significantly improving the reliability of mobile mapping systems. Additionally, Ye has explored real-time UGV positioning through reference beacons combined with LiDAR scan matching, demonstrating practical solutions for indoor and structured environments. Their research bridges the gap between theoretical SLAM frameworks and real-world deployment, with applications in surveying, autonomous driving, and robotics. By advancing both the algorithmic foundations and experimental validation of LiDAR-based navigation, Ye has contributed to making autonomous positioning more accurate and dependable for complex operational scenarios.
Research Focus
Key Achievements
Top Papers
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- 2