A Fuzzy Associative Data Fusion Algorithm for VTS

Abstract

An algorithm to fuse redundant observations due to multiple sensor coverage, in order to reduce duplicate track information provided to Vessel Traffic Services (VTS) operator displays, is reported. The algorithm receives inputs from multiple sensors as long as the basic decision criteria elements are provided. 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.

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Document Details

Document Type
Technical Report
Publication Date
Feb 27, 1998
Accession Number
ADA339412

Entities

People

  • Murali Tummala
  • Sean A. Midwood

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Coast Guard
  • Control Systems Engineering
  • Data Fusion
  • Data Sets
  • Databases
  • Detectors
  • Engineering
  • Global Positioning Systems
  • Information Systems
  • Observation
  • Puget Sound
  • Software Design
  • Software Development
  • United States
  • Waterways
  • Word Processors

Readers

  • Aviation Safety and Air Traffic Management
  • Computer Vision.
  • Systems Analysis and Design