MCJO refines linear least squares triangulation with Levenberg-Marquardt reprojection optimization, achieving 9.69 mm mean error in simulation and 5.63 mm in a three-camera prototype.
Indoor 3D visible light positioning based on multiple cameras: Algorithm design and error analysis,
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Passive Multi-Target Visible Light Positioning Based on Multi-Camera Joint Optimization
MCJO refines linear least squares triangulation with Levenberg-Marquardt reprojection optimization, achieving 9.69 mm mean error in simulation and 5.63 mm in a three-camera prototype.