Yongliang Xiao

Hunan University of Finance and Economics

Papers

Total Citations

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About

Yongliang Xiao is a researcher focused on intelligent robotics and computer vision, with particular expertise in multi-target recognition and tracking systems for mobile platforms. His most-cited work, "Multi-moving Target Recognition and Tracking Based on Mobile Robot Platform" (2021), makes a significant contribution by integrating visual sensing systems with intelligent monitoring architectures to enable real-time detection and tracking of multiple moving objects. This research addresses critical challenges in autonomous navigation and surveillance, demonstrating how mobile robots can effectively process complex visual data to identify and follow targets in dynamic environments. The paper details key technologies for implementing robust tracking algorithms on resource-constrained robotic platforms, bridging the gap between theoretical computer vision and practical deployment. While his citation count is currently modest, Xiao's work represents foundational advances in mobile robotics that could support applications in security monitoring, autonomous vehicles, and industrial automation. His research emphasizes the practical realization of intelligent monitoring systems, offering valuable insights for engineers and researchers developing next-generation autonomous platforms capable of sophisticated environmental perception and interaction.