Zhuqing Wang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Zhuqing Wang is a leading researcher in the field of microelectromechanical systems (MEMS) and LiDAR technology, with a primary focus on adaptive sensing, trajectory correction, and precision error evaluation. Their most notable contribution is the development of a novel adaptive dynamic measurement framework for MEMS LiDAR systems, which addresses the critical challenge of external mechanical disturbances that cause trajectory deformations and incoherent 2D point cloud sampling artifacts. This work, published in 2025 and already garnering 2 citations, introduces real-time error suppression methods that significantly enhance the reliability and accuracy of LiDAR-based environmental mapping. By enabling coherent point cloud generation under dynamic conditions, Dr. Wang’s research has important implications for autonomous navigation, robotics, and advanced driver-assistance systems. Their work stands out for its practical approach to solving real-world instability issues in MEMS-based sensing, making it highly relevant for engineers and researchers developing next-generation perception systems. Dr. Wang’s contributions continue to shape the evolution of compact, high-performance LiDAR technologies.
Research Focus
Key Achievements
Top Papers
- 1