Haibo Ye

Papers

Total Citations

286

H-Index

About

Haibo Ye is a leading researcher in indoor localization and smartphone sensing, with a focus on leveraging magnetic field data for high-precision positioning. His most influential work, "A Reliability-Augmented Particle Filter for Magnetic Fingerprinting Based Indoor Localization on Smartphone" (2015, 161 citations), addresses a critical challenge in the field: the vulnerability of particle filters to motion estimation errors. By introducing a reliability-augmented mechanism, Ye significantly improved the robustness and accuracy of magnetic fingerprinting, a technique that uses the Earth's magnetic field anomalies as unique indoor signatures. This contribution has been widely adopted, with the paper serving as a foundational reference for subsequent studies. His earlier work, "MaLoc" (2014, 125 citations), further advanced the field by demonstrating the practical viability of magnetic-based localization on smartphones, overcoming limitations of traditional Wi-Fi or Bluetooth approaches. Together, these papers have shaped modern indoor navigation systems, enabling applications in smart buildings, robotics, and location-based services. Ye's research stands out for its innovative fusion of probabilistic filtering and magnetic sensing, earning him recognition as a key figure in ubiquitous computing.