Shihe Zhang
Papers
1
Total Citations
10
H-Index
1
About
Shihe Zhang is a leading researcher in underwater magnetic sensing and autonomous navigation, whose work bridges the gap between theoretical geophysics and practical marine robotics. His primary research areas include magnetic gradient tensor positioning, underwater target detection, and autonomous underwater vehicle (AUV) platform integration. Zhang’s most notable contribution is the development of a magnetic gradient tensor positioning method implemented on an AUV platform, a breakthrough that addresses the critical challenge of stabilizing measurement apparatus in dynamic underwater environments. This work, published in 2023 and already garnering 10 citations, provides a robust framework for detecting magnetically susceptible submerged objects—a capability essential for underwater archaeology, environmental monitoring, and defense applications. By enabling precise, real-time positioning without reliance on acoustic or optical systems, Zhang’s method enhances the reliability of autonomous underwater surveys. His research has significant implications for improving the accuracy and stability of magnetic sensors in turbulent conditions, paving the way for more sophisticated underwater exploration technologies. Zhang’s contributions are recognized as foundational to advancing autonomous maritime systems, making him a key figure in the field of underwater geophysical sensing.
Research Focus
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Top Papers
- 1