Jianrong Cao
Papers
1
Total Citations
3
H-Index
1
About
Dr. Jianrong Cao is a leading researcher in underwater robotics and computer vision, with a primary focus on advancing autonomous detection systems for complex aquatic environments. His most notable contribution is the development of a novel YOLOv5-based hybrid underwater target detection algorithm, which integrates Convolutional Block Attention Module (CBAM) and Complete Intersection over Union (CIoU) loss to significantly enhance detection accuracy and robustness in challenging underwater conditions. This work, published in 2023 and already garnering 3 citations, addresses a critical gap in applying land-based detection methods to underwater settings, where visibility and environmental factors pose unique challenges. Dr. Cao's research bridges the gap between terrestrial computer vision techniques and the specialized demands of underwater robotics, enabling more reliable operation of autonomous underwater vehicles. His algorithm's practical implications extend to marine exploration, environmental monitoring, and underwater infrastructure inspection. With a growing citation impact, Dr. Cao's work is increasingly recognized as foundational for next-generation underwater perception systems, positioning him as an emerging authority in this niche yet vital field of robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1