Baoxu Liu

Papers

Total Citations

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About

Baoxu Liu’s research centers on inertial navigation and attitude estimation, particularly for high-dynamic and high-speed rotational environments. His most-cited work, “An attitude estimation algorithm for high dynamic movement” (2015), addresses the critical challenge of non-commutable errors arising from finite rigid-body rotations when MEMS sensor sampling rates are limited. By integrating an expert control system (ECS) with optimized quaternion-based algorithms, Liu’s approach significantly improves attitude accuracy under extreme motion conditions—a vital contribution for applications in aerospace, robotics, and autonomous systems. Though his citation count remains modest, his work demonstrates technical depth in sensor fusion and real-time error compensation. Liu’s research bridges theoretical kinematics and practical engineering, offering robust solutions for systems requiring precise orientation tracking during rapid maneuvers. His focus on high-dynamic scenarios positions him as a specialist in a niche but impactful area of motion sensing.