Title :
Search and Rescue Optimal Planning System
Author :
Kratzke, T.M. ; Stone, L.D. ; Frost, J.R.
Author_Institution :
Metron, Inc., Reston, VA, USA
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;
Conference_Titel :
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-9824438-1-1
DOI :
10.1109/ICIF.2010.5712114
