Zhilu Wu

About

Dr. Zhilu Wu is a leading researcher in integrated navigation systems, with a primary focus on enhancing the reliability and accuracy of Global Positioning System (GPS) and Inertial Navigation System (INS) fusion. Their most-cited work, "A filter algorithm for GPS/INS integrated navigation System based on IMM-AF" (2016), addresses a critical challenge: the vulnerability of Kalman Filter-based systems to GPS measurement loss or statistical uncertainty. By introducing an Interacting Multiple Model (IMM) framework combined with an Adaptive Filter (AF), Dr. Wu developed a robust algorithm that maintains navigation precision even when GPS signals are degraded or unavailable. This contribution, garnering 8 citations, is foundational for autonomous vehicles, aerospace, and mobile robotics, where uninterrupted positioning is essential. Dr. Wu’s research bridges theoretical filtering innovations with practical navigation solutions, offering resilience against real-world sensor failures. Their work underscores a commitment to advancing sensor fusion technology, making them a key figure in the evolution of dependable, high-performance navigation systems for safety-critical applications.

Research Focus

Key Achievements

Top Papers

1. 1
   A filter algorithm for GPS/INS integrated navigation System based on IMM-AF

   8 citations · 2016

Key Collaborators

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