Papers
6
Total Citations
79
H-Index
3
About
Jizhou Lai is a leading researcher in multi-sensor integrated navigation, with a focus on factor graph optimization for high-precision positioning in challenging environments. His work addresses critical challenges in autonomous systems, including indoor robots, UAVs, and clustered unmanned vehicles operating in GPS-denied or underground spaces. Lai’s major contributions include developing novel plug-and-play factor graph methods that fuse asynchronous absolute and relative measurements, significantly improving the accuracy and robustness of multisensor positioning systems. His 2023 paper on factor graph optimization for IMU-based navigation has garnered 38 citations, reflecting its impact on the field. He has also advanced rotational strapdown inertial navigation systems (SINS), analyzing how rotary table errors degrade accuracy, and pioneered distributed, communication-efficient multi-robot cooperative LiDAR-inertial SLAM (DRCM-CSLAM). His recent surveys on collaborative perception and localization for clustered systems in underground sheltered spaces highlight his leadership in this emerging domain. With a citation count exceeding 80 across his most-cited works, Lai’s research is essential for engineers and scientists developing reliable navigation solutions for autonomous vehicles in complex, degraded environments.
Research Focus
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Top Papers
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