File:A computationally efficient and cost effective multisensor data fusion algorithm for the United States Coast Guard Vessel Traffic Services system (IA acomputationally1094531943).pdf
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Summary[edit]
A computationally efficient and cost effective multisensor data fusion algorithm for the United States Coast Guard Vessel Traffic Services system
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| Author |
Midwood, Sean A. |
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| Title |
A computationally efficient and cost effective multisensor data fusion algorithm for the United States Coast Guard Vessel Traffic Services system |
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| Publisher |
Monterey, California. Naval Postgraduate School |
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| Description |
This thesis develops an algorithm to fuse redundant observations due to multiple sensor (type and location) coverage in order to provide a significant reduction in duplicate track information provided to Vessel Traffic Services (VTS) operator displays. The design of the algorithm allows acceptance of inputs from any type of sensor (radar, acoustic, OPS, system generated and manual tracks) as long as the basic decision criteria elements are provided. The result of this effort is a computationally efficient and cost effective software solution to a significant system deficiency that impacts greatly on overall waterway safety. The algorithm is tested with real data collected from the VTS system at Puget Sound in September 1996. The results indicate that the algorithm correctly fuses redundant sensor observations on the same vessel resulting in a significant reduction in the amount of unnecessary information presented to the VTS operator. Subjects: Multisensor data fusion; Harbors United States; Traffic control; Data processing; Detectors; Electronics in navigation; NA |
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| Language | English | |
| Publication date | September 1997 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
acomputationally1094531943 |
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| Source | ||
| Permission (Reusing this file) |
Approved for public release, distribution unlimited | |
Licensing[edit]
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This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 21:57, 13 July 2020 |  | 1,275 × 1,650, 76 pages (2.37 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection acomputationally1094531943 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #5258) |
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