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cs.RO2025
Unobservable Subspace Evolution and Alignment for Consistent Visual-Inertial Navigation
Chungeng Tian, Fenghua He, Ning Hao
The inconsistency issue in the Visual-Inertial Navigation System (VINS) is a long-standing and fundamental challenge. While existing studies primarily attribute the inconsistency t…
cs.RO2025
T-ESKF: Transformed Error-State Kalman Filter for Consistent Visual-Inertial Navigation
Chungeng Tian, Ning Hao, Fenghua He
This paper presents a novel approach to address the inconsistency problem caused by observability mismatch in visual-inertial navigation systems (VINS). The key idea involves apply…
cs.RO2025
A Transformation-based Consistent Estimation Framework: Analysis, Design and Applications
Ning Hao, Chungeng Tian, Fenghua He
In this paper, we investigate the inconsistency problem arising from observability mismatch that frequently occurs in nonlinear systems such as multi-robot cooperative localization…