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Process algebra approach for action recognition in the maritime domain

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dc.contributor.author Huntsberger, Terry
dc.date.accessioned 2013-10-17T21:16:21Z
dc.date.available 2013-10-17T21:16:21Z
dc.date.issued 2011-09-25
dc.identifier.citation IEEE/RSJ International Conference on Intelligent Robots and Systems 2011, San Francisco, California, September 25-30, 2011 en_US
dc.identifier.clearanceno 11-2619
dc.identifier.uri http://hdl.handle.net/2014/43907
dc.description.abstract The maritime environment poses a number of challenges for autonomous operation of surface boats. Among these challenges are the highly dynamic nature of the environment, the onboard sensing and reasoning requirements for obeying the navigational rules of the road, and the need for robust day/night hazard detection and avoidance. Development of full mission level autonomy entails addressing these challenges, coupled with inference of the tactical and strategic intent of possibly adversarial vehicles in the surrounding environment. This paper introduces PACIFIC (Process Algebra Capture of Intent From Information Content), an onboard system based on formal process algebras that is capable of extracting actions/activities from sensory inputs and reasoning within a mission context to ensure proper responses. PACIFIC is part of the Behavior Engine in CARACaS (Cognitive Architecture for Robotic Agent Command and Sensing), a system that is currently running on a number of U.S. Navy unmanned surface and underwater vehicles. Results from a series of experimental studies that demonstrate the effectiveness of the system are also presented. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2011. en_US
dc.subject maritime autonomy en_US
dc.subject action recognition en_US
dc.subject process algebras en_US
dc.title Process algebra approach for action recognition in the maritime domain en_US
dc.type Preprint en_US


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