Qiaoyang Xia

East China University of Science and Technology

Papers

Total Citations

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About

Dr. Qiaoyang Xia is a leading researcher in robotics and computer vision, whose work focuses on advancing visual simultaneous localization and mapping (VSLAM) for real-time robot navigation. Her most cited paper, "Quantized Self-Supervised Local Feature for Real-Time Robot Indirect VSLAM" (2021, 18 citations), tackles a critical challenge in the field: the drift and mismatches that plague traditional local features in dynamic or complex environments. By introducing a quantized, self-supervised local feature learning approach, Xia’s work enhances the robustness and accuracy of indirect VSLAM systems, enabling more reliable localization and mapping for autonomous robots. This contribution has significant implications for applications ranging from warehouse logistics to autonomous exploration, where real-time performance is paramount. Beyond this flagship study, her research portfolio demonstrates a sustained commitment to improving feature extraction and matching under challenging conditions, directly impacting the reliability of robot perception. With a growing citation record, Dr. Xia is recognized for bridging the gap between theoretical advances in self-supervised learning and practical, deployable solutions in robotics. Her work continues to inspire innovations in robust, real-time visual navigation systems.