Cooperative organic mine avoidance path planning

Christopher B. McCubbin; Christine D. Piatko; Adam V. Peterson; Creighton R. Donnald; David Cohen

doi:10.1117/12.602815

10 June 2005 Cooperative organic mine avoidance path planning

Christopher B. McCubbin, Christine D. Piatko, Adam V. Peterson, Creighton R. Donnald, David Cohen

Proceedings Volume 5794, Detection and Remediation Technologies for Mines and Minelike Targets X; (2005) https://doi.org/10.1117/12.602815
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

The JHU/APL Path Planning team has developed path planning techniques to look for paths that balance the utility and risk associated with different routes through a minefield. Extending on previous years' efforts, we investigated real-world Naval mine avoidance requirements and developed a tactical decision aid (TDA) that satisfies those requirements. APL has developed new mine path planning techniques using graph based and genetic algorithms which quickly produce near-minimum risk paths for complicated fitness functions incorporating risk, path length, ship kinematics, and naval doctrine. The TDA user interface, a Java Swing application that obtains data via Corba interfaces to path planning databases, allows the operator to explore a fusion of historic and in situ mine field data, control the path planner, and display the planning results. To provide a context for the minefield data, the user interface also renders data from the Digital Nautical Chart database, a database created by the National Geospatial-Intelligence Agency containing charts of the world's ports and coastal regions. This TDA has been developed in conjunction with the COMID (Cooperative Organic Mine Defense) system. This paper presents a description of the algorithms, architecture, and application produced.

Citation Download Citation

Christopher B. McCubbin, Christine D. Piatko, Adam V. Peterson, Creighton R. Donnald, and David Cohen "Cooperative organic mine avoidance path planning", Proc. SPIE 5794, Detection and Remediation Technologies for Mines and Minelike Targets X, (10 June 2005); https://doi.org/10.1117/12.602815

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