Xiawei Guan
Papers
1
Total Citations
2
H-Index
1
About
Xiawei Guan is a leading researcher in sonar imaging and underwater perception, with a focus on advancing multibeam imaging sonar technology for cognitive robotics, navigation, and inspection. Their key contributions center on developing sophisticated image processing models to overcome hardware limitations in sonar systems. Guan’s notable work, the “Multibeam Imaging Sonar Image Fusion via -total Variation Model” (2023), addresses the critical challenge of dispersion in frequency-controlled sonar images, proposing a fusion framework that enhances image clarity and detail. This research has already garnered attention, with 2 citations in a short time, signaling its growing impact in the field. Guan’s innovations are pivotal for improving the reliability of underwater sensing, enabling more precise object detection and environmental mapping. Their work bridges the gap between theoretical image processing and practical sonar applications, making them a key figure in advancing autonomous underwater systems. As the demand for robust underwater perception grows, Guan’s contributions are set to influence both academic research and real-world deployment in marine robotics and inspection tasks.
Research Focus
Key Achievements
Top Papers
- 1Multibeam Imaging Sonar Image Fusion via -total Variation Model2 citations · 2023