Guangchen Li

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About

Guangchen Li is a leading researcher in multi-sensor fusion positioning, with a focus on integrating global navigation satellite systems (GNSS) with visual-inertial odometry (VIO) for robust, high-precision navigation. His most cited work, "The Integration of GPS/BDS Real-Time Kinematic Positioning and Visual–Inertial Odometry Based on Smartphones" (2021, 7 citations), addresses a critical challenge in modern positioning: maintaining accuracy in GNSS-hostile environments where signals are reflected or blocked. Li’s major contribution lies in developing a seamless fusion framework that combines Real-Time Kinematic (RTK) positioning with VIO, effectively mitigating RTK degradation in urban canyons and VIO’s long-term drift. This work has significant implications for smartphone-based navigation, autonomous systems, and location-based services. By leveraging dual-frequency GPS/BDS and smartphone-grade sensors, Li demonstrates how low-cost platforms can achieve centimeter-level accuracy in challenging conditions. His research bridges the gap between theoretical sensor fusion and practical deployment, offering a scalable solution for next-generation positioning. With a growing citation impact, Li’s work continues to influence advancements in resilient navigation, particularly for mobile and wearable devices.