Xueyou Huang

Papers

Total Citations

H-Index

About

Xueyou Huang is a researcher focused on advancing embedded computer vision and mobile robotics, with particular expertise in real-time face detection and lightweight target tracking. Their most cited work, "Face Detection and Tracking Using Raspberry Pi based on Haar Cascade Classifier" (2022, 5 citations), addresses the critical challenge of enabling intelligent service robots to perform visual perception and human-robot interaction on low-performance embedded devices. This paper tackles the persistent problems of slow processing speed and poor accuracy when deploying face detection on platforms like Raspberry Pi. Building on this foundation, Huang's more recent work, "Mobile robot tracking control based on lightweight network" (2025, 2 citations), extends their research into mobile robot target tracking—a key technology with applications spanning logistics, security, and autonomous driving. This work specifically addresses the computational constraints of mobile platforms by developing efficient tracking algorithms that combine target recognition and following capabilities. Huang's research is particularly valuable for students and engineers working on resource-constrained robotic systems, demonstrating how to achieve practical computer vision performance without requiring high-end hardware.