The work derives observability conditions for dual quaternion-based visual pose estimation and designs a Lie group unscented Kalman filter that improves robustness to occlusions over standard PnP methods.
Geometric integration of quater- nions,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Observability Conditions and Filter Design for Visual Pose Estimation via Dual Quaternions
The work derives observability conditions for dual quaternion-based visual pose estimation and designs a Lie group unscented Kalman filter that improves robustness to occlusions over standard PnP methods.