Yihan Tu
Papers
1
Total Citations
3
H-Index
1
About
Yihan Tu is a researcher in robotics and computer vision, specializing in visual-inertial odometry (VIO) and panoramic imaging for autonomous navigation. Their key contributions lie in developing geometrically consistent multi-prism projection models that address the nonlinear distortions inherent in panoramic camera-based VIO systems. This work is critical for enhancing localization accuracy in robotic navigation, autonomous driving, and virtual reality applications. Tu’s most-cited paper, "Geotri-VIO" (2025), introduces a novel framework that improves the robustness of VIO under challenging visual conditions, achieving 3 citations in its early publication stage—a promising start for a rapidly evolving field. By tackling the distortion challenges that limit panoramic camera utility, Tu has advanced the reliability of SLAM systems in real-world environments. Their research bridges theoretical geometry with practical deployment, offering solutions for high-precision mapping and motion tracking. As a rising scholar, Tu’s work is poised to influence next-generation autonomous systems, particularly in scenarios requiring wide field-of-view perception.
Research Focus
Key Achievements
Top Papers
- 1