Computing budget allocation for optimization of sensor processing order in sequential multi-sensor fusion algorithms

Because target tracking is a stochastic process, comparison of different tracking algorithms or parameter sets within one algorithm relies on time-consuming and computationally demanding simulations. In this paper we present a method to minimize simulation time, yet to achieve a desirable confidence...

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Veröffentlicht in:	Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148) Jg. 3; S. 1841 - 1847 vol.3
Hauptverfasser:	Trailovic, L., Pao, L.Y.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 2001
Schlagworte:	Additive noise Computational modeling Computer simulation Optimization methods Position measurement Sensor fusion Sensor systems State estimation Stochastic processes Target tracking
ISBN:	9780780364950, 0780364953
ISSN:	0743-1619
Online-Zugang:	Volltext
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