Multisensor Data Fusion for the Vessel Traffic System.

Abstract

This report describes the development of an algorithm to fuse redundant observations due to multiple sensor coverage of a vessel within the United States Coast Guard (USCG) Vessel Traffic Services (VTS) system. Fuzzy membership functions are used as a measure of correlation, and a fuzzy associative system determines which observations represent the same vessel. The result is a computationally efficient algorithm. The output of the system is a unique set of vessels identified by unique platform identifiers. Results of tests based on computer simulation of overlapping radar coverage show that the fusion algorithm correctly correlates and fuses the sensor observations.

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Document Details

Document Type
Technical Report
Publication Date
Oct 03, 1996
Accession Number
ADA317601

Entities

People

  • Ian Glenn
  • Murali Tummala
  • Sean Midwood

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Coast Guard
  • Computer Simulations
  • Computers
  • Data Fusion
  • Detectors
  • Multisensors
  • Observation
  • Platforms
  • Simulations
  • Traffic
  • United States
  • Vessel Traffic Systems

Readers

  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Maritime Security/Maritime Homeland Security