Yusen Gong
Papers
1
Total Citations
2
H-Index
1
About
Yusen Gong is a researcher specializing in autonomous underwater vehicle (AUV) navigation, multi-sensor fusion, and geophysical positioning. Their most notable contribution is the development of a particle filter-based framework for underwater geophysical navigation, as detailed in their 2021 paper "Underwater Geophysical Navigation using a Particle Filter Approach to Multi-Sensor Fusion." This work addresses the critical challenge of reliable AUV localization in GPS-denied environments by integrating bathymetric data from a Multibeam Echosounder with prior digital elevation maps of the seabed. The Monte Carlo estimation approach they pioneered enhances navigation accuracy and robustness, offering a practical solution for long-duration underwater missions. While their work has garnered modest citations to date, its methodological rigor and relevance to underwater robotics signal growing influence. Gong’s research bridges theoretical estimation techniques with real-world sensor constraints, making it a valuable reference for engineers and scientists advancing autonomous marine systems. Their focus on scalable, map-based navigation continues to inform developments in ocean exploration and defense applications.
Research Focus
Key Achievements
Top Papers
- 1