|
Accession Number
|
ADA564779
|
|
Title
|
Search and Rescue Optimal Planning System.
|
|
Publication Date
|
Jul 2010
|
|
Media Count
|
9p
|
|
Personal Author
|
J. R. Frost L. D. Stone T. M. Kratzke
|
|
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 theorem
Coast guard
Computer applications
Decision support systems
Monte carlo method
Monte carlo simulation
Optimization
Particle filters
Planning
Probability distribution functions
Sarops(Search and rescue optimal planning system)
Search and rescue
Symposia
|
|
|
Source Agency
|
Non Paid ADAS
|
|
NTIS Subject Category
|
62B - Computer Software
57U - Public Health & Industrial Medicine
|
|
Corporate Author
|
Metron, Inc., Reston, VA.
|
|
Document Type
|
Technical report
|
|
Title Note
|
Conference paper.
|
|
NTIS Issue Number
|
1303
|
|
Contract Number
|
N/A
|
