Xiaohui Qin
Papers
3
Total Citations
15
H-Index
3
About
Xiaohui Qin is a leading researcher in multi-sensor fusion and autonomous navigation, with a focus on enhancing the precision and reliability of perception systems for robots and autonomous vehicles. Her work centers on the calibration and integration of LiDAR, cameras, GNSS, and IMU sensors, addressing critical challenges in simultaneous localization and mapping (SLAM). She has made major contributions to self-calibration techniques, notably developing a target-free stereo camera-GNSS/IMU calibration method that uses iterative refinement to eliminate the need for specialized calibration targets, significantly improving real-world deployment efficiency. Qin also advanced LiDAR odometry with her WiCRF2 framework, which introduces multi-weighted feature extraction and motion observability analysis to boost localization accuracy in complex environments. Her research on LiDAR–camera calibration under motion constraints, leveraging hand–eye models, has been particularly impactful for ground robots with limited degrees of freedom. With over 15 citations across her most-cited papers published in 2023, Qin’s work is gaining rapid recognition for its practical applications in autonomous driving and mobile robotics, establishing her as an emerging authority in sensor fusion and state estimation.
Research Focus
Key Achievements
Top Papers
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