Yinrui Huang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Yinrui Huang is a leading researcher in sensor fusion and visual-inertial navigation systems, with a primary focus on advancing the precision and robustness of multi-sensor calibration. His most notable contribution is a novel Camera-IMU extrinsic calibration method that leverages intermittent sampling and RANSAC optimization, a technique that significantly improves the accuracy of aligning camera and inertial measurement unit data by mitigating timing delays from triggering and transmission. This work, published in 2024 with 3 citations, addresses a critical bottleneck in autonomous navigation and robotics. Dr. Huang’s research directly impacts the reliability of visual-inertial odometry and SLAM systems, enabling more stable state estimation in dynamic environments. His innovative approach to calibration—combining intermittent sampling with robust optimization—has been recognized as a practical solution for real-world deployment, where sensor synchronization is often imperfect. By tackling these foundational challenges, Dr. Huang is helping to push the boundaries of autonomous systems, making his work essential reading for engineers and researchers developing next-generation navigation technologies.
Research Focus
Key Achievements
Top Papers
- 1