Jingxin Guan
Papers
1
Total Citations
2
H-Index
1
About
Jingxin Guan is a researcher specializing in mobile robotics, computer vision, and intelligent monitoring systems. Their work focuses on enabling autonomous platforms to perceive and interact with dynamic environments, particularly through multi-moving target recognition and tracking. Guan’s most-cited paper, “Multi-moving Target Recognition and Tracking Based on Mobile Robot Platform” (2021), provides a comprehensive analysis of key technologies integrating visual sensing and intelligent monitoring systems to achieve real-time target detection and tracking from a mobile robot. This contribution addresses critical challenges in autonomous navigation and surveillance, laying groundwork for applications in security, industrial automation, and human-robot interaction. Although early in their citation impact, Guan’s research demonstrates a strong foundation in practical, system-level solutions for complex visual tasks. Their work bridges theoretical advances in computer vision with real-world robotic implementations, offering valuable insights for students and researchers exploring the intersection of mobile robotics and intelligent perception. Guan’s contributions highlight the growing importance of robust, adaptive tracking algorithms in next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1