Huiqin Zhou — accepted AI-conference papers

2025

IR-MFGL: Image-Represented Magnetic Field Global Localization in Repetitive Environments

Hongming Shen, Shibo Yang, Xun Chen, Zhenyu Wu, Qiyang Lyu, Wei Wang +2

RA-L 2025

Global localization is an essential ingredient for autonomous mobile robots. However, existing global localization systems primarily rely on Global Navigation Satellite System (GNSS), infrastructures, or visual/LiDAR-based place recognition, which suffer from enclosed/semi-enclosed GNSS-denied envir

Cited by 0 Source ↗Scholar ↗

2024

IDF-MFL: Infrastructure-free and Drift-free Magnetic Field Localization for Mobile Robot

Hongming Shen, Zhenyu Wu, Wei Wang, Qiyang Lyu, Huiqin Zhou, Danwei Wang

IROS 2024poster

In recent years, infrastructure-based localization methods have achieved significant progress thanks to their reliable and drift-free localization capability. However, the preinstalled infrastructures suffer from inflexibilities and high maintenance costs. This poses an interesting problem of how to…

Cited by 1 Source ↗Scholar ↗