Jinhong Xu

Papers

Total Citations

178

H-Index

About

Jinhong Xu is a leading researcher in robotics and sensor fusion, with a focus on enabling precise, real-time perception and navigation for autonomous systems. Her work centers on the calibration and integration of multi-modal sensors—including LiDAR, IMU, vision, and sonar—to enhance robotic autonomy in complex environments. A standout contribution is her development of an observability-aware, continuous-time batch-optimization method for LiDAR-IMU calibration (76 citations), which significantly improves the accuracy and reliability of sensor fusion for mobile robots. She has also advanced human-robot interaction through a real-time 3-D tracking system that fuses vision and ultrasonar data (70 citations), enabling following robots to operate with high precision in industrial settings. Additionally, her novel separated sonar localization system (32 citations) offers a scalable, cost-effective solution for indoor robot navigation, addressing key challenges in large-scale deployment. With over 178 citations across her most-cited works, Xu’s research bridges theoretical rigor and practical deployment, making her a key figure in the development of robust, perception-driven robotic systems for manufacturing, service, and exploration.