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Search and Rescue Optimal Planning System.

ADA564779

Publication Date	2010
Personal Author	Kratzke, T. M.; Stone, L. D.; Frost, J. R.
Page Count	9
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	Computer applications Search and rescue Bayes theorem Coast guard Decision support systems Monte carlo method Optimization Planning Probability distribution functions Symposia Sarops(Search and rescue optimal planning system) Monte carlo simulation Particle filters
Source Agency	Non Paid ADAS
NTIS Subject Category	62B - Computer Software 57U - Public Health & Industrial Medicine
Corporate Authors	Metron, Inc., Reston, VA.
Supplemental Notes	Presented at the 13th International Conference on Information Fusion held in Edinburgh, UK on 26-29 July 2010. Sponsored in part by Office of Naval Research, Office of Naval Research Global, and U.S. Army Research Laboratory's Army Research Office (ARO). U.S. Government or Federal Rights License.
Document Type	Technical Report
Title Note	Conference paper.
NTIS Issue Number	201303

Search and Rescue Optimal Planning System.

Search and Rescue Optimal Planning System.
ADA564779

Publication Date	2010
Personal Author	Kratzke, T. M.; Stone, L. D.; Frost, J. R.
Page Count	9
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	Computer applications Search and rescue Bayes theorem Coast guard Decision support systems Monte carlo method Optimization Planning Probability distribution functions Symposia Sarops(Search and rescue optimal planning system) Monte carlo simulation Particle filters
Source Agency	Non Paid ADAS
NTIS Subject Category	62B - Computer Software 57U - Public Health & Industrial Medicine
Corporate Authors	Metron, Inc., Reston, VA.
Supplemental Notes	Presented at the 13th International Conference on Information Fusion held in Edinburgh, UK on 26-29 July 2010. Sponsored in part by Office of Naval Research, Office of Naval Research Global, and U.S. Army Research Laboratory's Army Research Office (ARO). U.S. Government or Federal Rights License.
Document Type	Technical Report
Title Note	Conference paper.
NTIS Issue Number	201303