Search and Rescue Optimal Planning System

Abstract

In 1974 the U.S. Coast Guard put into operation its first computerized search and rescue planning system CASP (Computer-Assisted Search Planning) which used a Bayesian approach implemented by a particle filter to produce probability distributions for the location of the search object. These distributions were used for planning search effort. In 2003, the Coast Guard started development of a new decision support system for managing search efforts called Search and Rescue Optimal Planning System (SAROPS). SAROPS has been operational since January, 2007 and is currently the only search planning tool that the Coast Guard uses for maritime searches. SAROPS represents a major advance in search planning technology. This paper reviews the technology behind the tool.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2010
Accession Number
ADA564779

Entities

People

  • John R. Frost
  • Lawrence D. Stone
  • Thomas M. Kratzke

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Coast Guard
  • Computational Science
  • Distribution Functions
  • Graphical User Interface
  • Military Research
  • Models
  • Normal Distribution
  • Particles
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Search And Rescue
  • Sequential Monte Carlo Methods
  • Simulators
  • Time Intervals

Readers

  • Maritime Security/Maritime Homeland Security
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms