Ningbo Wang

Aerospace Information Research Institute

Papers

Total Citations

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About

Dr. Ningbo Wang is a leading researcher in the intersection of satellite-based positioning and robotics, with a primary focus on precise point positioning (PPP) and its integration with simultaneous localization and mapping (SLAM) systems. Their most significant contribution to date is the pioneering work "PPP based on factor graph optimization" (2024), which has already garnered 52 citations—a testament to its immediate and substantial impact on the field. In this landmark paper, Dr. Wang challenges the conventional reliance on Kalman filtering methods in PPP by demonstrating the superior performance of factor graph optimization (FGO), a technique more commonly used in robot SLAM. By showing that FGO can reduce linearization errors and improve estimation consistency, Dr. Wang has effectively bridged a critical gap between traditional geodetic positioning and modern robotic perception. This work not only advances the accuracy and robustness of GNSS-based navigation but also opens new avenues for seamless indoor-outdoor localization. Dr. Wang’s research is essential reading for anyone working at the cutting edge of autonomous systems, sensor fusion, and high-precision navigation.