Shengyu Li
Papers
13
Total Citations
196
H-Index
7
About
Shengyu Li is a prolific researcher specializing in autonomous navigation, sensor fusion, and spatiotemporal calibration for robotic and intelligent vehicle systems. His work addresses one of the most pressing challenges in modern robotics: achieving accurate, continuous positioning across diverse and complex environments. Li has made significant contributions to tightly coupled integration frameworks that combine GNSS, INS, vision, LiDAR, UWB, and IMU sensors, enabling centimeter-level navigation where standalone sensors fall short. His 2022 paper on GNSS/INS/vision integration has garnered 42 citations, reflecting its rapid influence in the autonomous driving community. A distinguishing thread in Li's research is sensor calibration — developing targetless, automatic methods for determining precise spatial and temporal relationships between heterogeneous sensors. His iKalibr framework represents a unified solution for calibrating diverse inertial system configurations, while his multi-LiDAR and multi-camera calibration work demonstrates both practical ingenuity and theoretical rigor. Collectively, his publications have accumulated over 180 citations within just a few years, underscoring their relevance to the robotics and intelligent transportation communities. Li's research provides essential foundational tools for next-generation autonomous systems operating seamlessly between indoor and outdoor environments.
Research Focus
Key Achievements
Top Papers
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