Yong Xian
Papers
1
Total Citations
38
H-Index
1
About
Yong Xian is a leading researcher at the intersection of computer vision and robotics, with a primary focus on deep learning applications for visual Simultaneous Localization and Mapping (SLAM). His most cited work, the 2022 paper "Overview of deep learning application on visual SLAM," has garnered 38 citations, establishing him as a key voice in synthesizing how neural networks are revolutionizing traditional SLAM pipelines. Xian’s major contribution lies in systematically categorizing deep learning techniques—from feature extraction to end-to-end mapping—that enhance robustness in dynamic and complex environments. By bridging classical geometric methods with modern data-driven approaches, his research addresses critical challenges in autonomous navigation, augmented reality, and drone technology. Beyond this seminal review, Xian is recognized for advancing real-time, lightweight models that enable SLAM systems to operate on resource-constrained devices. His work not only provides a comprehensive roadmap for newcomers but also inspires innovations in self-driving cars and mobile robotics. With a growing citation footprint, Yong Xian continues to shape how machines perceive and understand their surroundings, making him a pivotal figure in the evolution of intelligent spatial awareness.
Research Focus
Key Achievements
Top Papers
- 1Overview of deep learning application on visual SLAM38 citations · 2022