Xiuchuan Xie

Papers

Total Citations

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About

Xiuchuan Xie is a robotics researcher specializing in visual odometry and autonomous navigation for unmanned aerial vehicles (UAVs) operating in challenging environments. His work addresses the critical problem of reliable localization in low-texture outdoor settings, where traditional feature-based methods often fail. Xie’s most-cited paper, “A Monocular Visual Odometry Method Based on Virtual-Real Hybrid Map in Low-Texture Outdoor Environment” (2021, 13 citations), introduces an innovative approach that combines virtual and real map data to enhance pose estimation accuracy when visual features are scarce. This hybrid method represents a significant contribution to the field, enabling more robust UAV autonomy in real-world applications like exploration and surveillance. By tackling the limitations of conventional visual odometry in feature-poor terrains, Xie’s research helps bridge the gap between laboratory algorithms and practical deployment. His work is particularly valuable for students and engineers developing navigation systems for drones and mobile robots operating in unstructured outdoor environments, offering a practical solution to a persistent challenge in robotics.