Jing Zou
Papers
1
Total Citations
17
H-Index
1
About
Dr. Jing Zou is a leading researcher in autonomous underwater robotics, with a primary focus on visual perception and navigation for Autonomous Underwater Vehicles (AUVs). Her most-cited work, "An Underwater Image Enhancement Method for Simultaneous Localization and Mapping of Autonomous Underwater Vehicle" (2019, 17 citations), addresses a critical bottleneck in underwater robotics: the degradation of visual data due to low contrast and scattering in aquatic environments. By developing a specialized image enhancement technique tailored for underwater conditions, Dr. Zou directly improves the reliability of visual Simultaneous Localization and Mapping (SLAM)—a core technology for autonomous navigation. Her contributions are pivotal for enabling AUVs to operate effectively in challenging, unstructured underwater settings, where traditional atmospheric imaging methods fail. This work has been recognized as a key step toward robust, real-time positioning for underwater exploration and inspection missions. Dr. Zou’s research sits at the intersection of computer vision, marine engineering, and robotics, offering practical solutions that advance the autonomy and safety of underwater vehicles. Her efforts continue to inspire new approaches in underwater image processing and SLAM, making her a notable figure in the field of marine robotics.
Research Focus
Key Achievements
Top Papers
- 1