Guaranteed Robust Nonlinear State Estimator with Application to Global Vehicle Tracking

This paper deals with guaranteed recursive state estimation in a bounded-error context with application to global dynamical vehicle tracking. As in Kalman or approximate Bayesian filtering, prediction and correction phases alternate. A distinctive feature of the method advocated here is that its res...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Kieffer, M., Seignez, E., Lambert, A., Walter, E., Maurin, T.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Density measurement Equations Filtering Kalman filters Noise measurement Robustness State estimation Time measurement Vehicles
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