Meixia Lu

Nanjing University of Information Science and Technology

Papers

Total Citations

H-Index

About

Dr. Meixia Lu is a leading researcher in marine robotics and underwater computer vision, with a primary focus on advancing autonomous aquatic object detection. Her most influential work, "A Marine Object Detection Algorithm Based on SSD and Feature Enhancement" (2020, 49 citations), tackles the critical challenge of enabling underwater robots to autonomously identify and harvest marine resources, specifically targeting sea urchins. Dr. Lu’s key contribution lies in enhancing the classical Single-Shot MultiBox Detector (SSD) algorithm through novel feature enhancement techniques, significantly improving detection accuracy in complex underwater environments. This work directly supports the future of sustainable aquaculture and robotic fishing, where autonomous systems must reliably distinguish target species amidst variable lighting, turbidity, and seabed textures. By bridging deep learning with practical marine engineering, her research has laid foundational groundwork for intelligent underwater harvesting systems. With 49 citations, this paper demonstrates growing influence in the intersection of computer vision and marine technology. Dr. Lu’s achievements are particularly notable for addressing real-world constraints in underwater robotics, offering scalable solutions that move beyond laboratory conditions to operational marine settings. Her work continues to inspire advances in autonomous aquatic robotics and precision aquaculture.