Search and Rescue Optimal Planning System

Author

Kratzke, T.M. ; Stone, L.D. ; Frost, J.R.

Author_Institution

Metron, Inc., Reston, VA, USA

fYear

2010

fDate

26-29 July 2010

Firstpage

1

Lastpage

8

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.

Keywords

Bayes methods; Monte Carlo methods; computer aided instruction; decision support systems; emergency services; marine engineering; particle filtering (numerical methods); search problems; statistical distributions; Bayesian approach; CASP; Monte Carlo simulation; SAROPS; US coast guard; computer-assisted search planning; computerized search and rescue optimal planning system; decision support system; maritime search; particle filter; probability distribution; search planning tool; Bayesian methods; Hazards; Leg; Planning; Probability distribution; Search problems; Uncertainty; Bayesian; Monte Carlo simulation; optimization; particle filters; search;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2010 13th Conference on

Conference_Location

Edinburgh

Print_ISBN

978-0-9824438-1-1

Type

conf

DOI

10.1109/ICIF.2010.5712114

Filename

5712114