Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/36658
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Type: Conference paper
Title: Multi-sensor tracking of a vehicle on a grid
Author: Sworder, D.
Boyd, J.
Hutchins, R.
Elliott, R.
Citation: Conference record of the Thirty-Eighth Asilomar Conference on Signals, Systems & Computers : November 7-10, 2004, Pacific Grove, California / Michael B. Matthews (ed.), vol. 2, pp. 1402- 1406
Publisher: IEEE Computer Society Press
Publisher Place: Piscataway, NJ USA
Issue Date: 2004
ISBN: 0780386221
Conference Name: Asilomar Conference on Signals, Systems & Computers (38th : 2004 : Pacific Grove, California)
Statement of
Responsibility: 
Sworder, D.D. ; Boyd, J.E. ; Hutchins, R.G. ; Elliott, R.J.
Abstract: Considerable work has been done on model-based, multi-sensor signal processing algorithms for estimating the location and the motion mode of a mobile vehicle. Hybrid models provide the best framework for fusion of disparate sensor measurements. But abrupt sensor nonlinearities and rigid motion constraints require more detailed analysis. This paper presents a multiple-model estimator that provides high quality location and uncertainty estimates for a vehicle following a mapped road grid. An example illustrates the power of the estimator.
Description: © Copyright 2004 IEEE
RMID: 0020065615
DOI: 10.1109/ACSSC.2004.1399384
Appears in Collections:Mathematical Sciences publications

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