Jinhang Li
Papers
2
Total Citations
48
H-Index
2
About
Jinhang Li is a researcher at the forefront of autonomous vehicle localization and robotic-assisted medical procedures. His work spans two critical domains: tightly-coupled sensor fusion for self-driving cars and precision control for surgical robotics. Li’s most influential contribution is the ACK-MSCKF, a novel visual-inertial odometry framework that addresses a fundamental flaw in standard VIO systems—additional unobservable directions caused by ground vehicles’ Ackermann steering constraints. By tightly fusing Ackermann error-state kinematics with multi-state constraint Kalman filtering, his 2019 paper (39 citations) significantly improves pose estimation accuracy for autonomous vehicles during turns and straight-line motion. In the medical robotics arena, Li tackles the challenge of respiratory movement during percutaneous punctures. His 2024 work on force-position hybrid control (9 citations) enables robotic systems to compensate for thoracic and abdominal organ motion, enhancing precision in cancer biopsy and ablation procedures. This dual expertise—bridging autonomous navigation and surgical assistance—demonstrates Li’s ability to solve real-world motion estimation problems across vastly different scales, from vehicles to human anatomy. His research continues to influence both intelligent transportation and minimally invasive medicine.
Research Focus
Key Achievements
Top Papers
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