Adelaide Research & Scholarship
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https://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 |
| DOI: | 10.1109/ACSSC.2004.1399384 |
| Appears in Collections: | Aurora harvest 6 Mathematical Sciences publications |
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