Shuai Xu

Papers

Total Citations

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About

Shuai Xu is a leading researcher in intelligent inspection systems for smart grids, with a primary focus on computer vision and autonomous navigation for power infrastructure. His most cited work, "Vision-Based Power Line Segmentation With an Attention Fusion Network" (2022, 54 citations), addresses a critical challenge in the field: enabling unmanned aerial vehicles (UAVs), climbing robots, and hybrid inspection platforms to reliably detect and segment power transmission lines in complex visual environments. By developing an attention fusion network, Xu significantly improved the accuracy and robustness of power line segmentation, directly enhancing the safety and efficiency of automated grid inspection. This contribution is foundational for path planning and navigation in real-world robotic systems, reducing the need for manual inspections and minimizing operational risks. Xu’s research bridges computer vision and robotics, offering practical solutions for smart grid maintenance. His work has been widely recognized by peers in the robotics and energy sectors, and his citation count reflects the growing importance of autonomous inspection technologies. For students and researchers, Xu exemplifies how targeted algorithmic innovations can solve pressing industrial challenges, making him a key figure in the evolution of intelligent power infrastructure.