Comparison of different pseudo-linear estimators for vision-based target motion estimation
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Publication:6061934
DOI10.1007/s11768-023-00161-yzbMath1530.93520MaRDI QIDQ6061934
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Publication date: 30 November 2023
Published in: Control Theory and Technology (Search for Journal in Brave)
Kalman filterFisher informationleast-squares estimatorpseudo-linear measurementsvision-based target motion analysis
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24)
Cites Work
- Optimality analysis of sensor-target localization geometries
- An invitation to 3-D vision. From images to geometric models.
- 3D Pseudolinear Target Motion Analysis From Angle Measurements
- Bearing Rigidity Theory and Its Applications for Control and Estimation of Network Systems: Life Beyond Distance Rigidity
- Optimal sensor placement for target localisation and tracking in 2D and 3D
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