MULTISENSOR DATA FUSION FOR THE VESSEL TRAFFIC SYSTEM

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.

• Corporate Authors:

  Naval Postgraduate School

  1 University Circle
  Monterey, CA  United States  93943
• Authors:
  • Tummala, M
  • Glenn, I
  • Midwood, S
• Publication Date: 1996-10-3

Language

• English

Media Info

• Pagination: 24 p.

Subject/Index Terms

• TRT Terms: Data management; Fusion; Information processing; Sensors; Simulation; Vessel traffic control
• Subject Areas: Marine Transportation; Operations and Traffic Management;

Filing Info

• Accession Number: 00737740
• Record Type: Publication
• Report/Paper Numbers: NPS-EC-96-015
• Files: TRIS
• Created Date: Jun 17 1997 12:00AM