Husheng Wang
Papers
1
Total Citations
6
H-Index
1
About
Husheng Wang is a researcher whose work has centered on multi-sensor data fusion and its applications in robotic control. His most-cited paper, "Sensor data fusion using Mahalanobis distance and single linkage algorithm" (2002, 6 citations), introduces a novel approach to combining outputs from diverse sensors—such as video cameras, range finders, sonar, infrared, and tactile sensors—to improve environmental perception for autonomous systems. By employing the Mahalanobis distance metric alongside a single linkage algorithm, Wang’s method enhances the accuracy and robustness of data fusion, enabling robots to better interpret complex surroundings. This contribution is particularly notable for its practical implications in robotics, where reliable sensor integration is critical for navigation and object recognition. While his citation count reflects a focused niche, Wang’s work has provided foundational insights into statistical techniques for sensor fusion, influencing subsequent research in multi-sensor systems. His approach remains relevant for engineers and researchers developing more sophisticated robotic perception frameworks, underscoring his role in advancing the field of intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1