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dc.contributor.authorFink, Wolfgang
dc.contributor.authorBrooks, Alexander J.-W.
dc.contributor.authorTarbell, Mark A.
dc.contributor.authorDohm, James M.
dc.date.accessioned2017-11-06T23:50:16Z
dc.date.available2017-11-06T23:50:16Z
dc.date.issued2017-05-18
dc.identifier.citationWolfgang Fink, Alexander J.-W. Brooks, Mark A. Tarbell, James M. Dohm, "Tier-scalable reconnaissance: the future in autonomous C4ISR systems has arrived: progress towards an outdoor testbed", Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 1019422 (18 May 2017); doi: 10.1117/12.2257333; http://dx.doi.org/10.1117/12.2257333en
dc.identifier.issn0277-786X
dc.identifier.doi10.1117/12.2257333
dc.identifier.urihttp://hdl.handle.net/10150/626010
dc.description.abstractAutonomous reconnaissance missions are called for in extreme environments, as well as in potentially hazardous (e.g., the theatre, disaster-stricken areas, etc.) or inaccessible operational areas (e.g., planetary surfaces, space). Such future missions will require increasing degrees of operational autonomy, especially when following up on transient events. Operational autonomy encompasses: (1) Automatic characterization of operational areas from different vantages (i.e., spaceborne, airborne, surface, subsurface); (2) automatic sensor deployment and data gathering; (3) automatic feature extraction including anomaly detection and region-of-interest identification; (4) automatic target prediction and prioritization; (5) and subsequent automatic (re-) deployment and navigation of robotic agents. This paper reports on progress towards several aspects of autonomous (CISR)-I-4 systems, including: Caltech-patented and NASA award-winning multi-tiered mission paradigm, robotic platform development (air, ground, water-based), robotic behavior motifs as the building blocks for autonomous telecommanding, and autonomous decision making based on a Caltech-patented framework comprising sensor-data-fusion (feature-vectors), anomaly detection (clustering and principal component analysis), and target prioritization (hypothetical probing).
dc.language.isoenen
dc.publisherSPIE-INT SOC OPTICAL ENGINEERINGen
dc.relation.urlhttp://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2257333en
dc.rights© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).en
dc.subjectAutonomous (CISR)-I-4 systemsen
dc.subjectsmart service systemsen
dc.subjectmulti-tiered architecturesen
dc.subjectrobotic agentsen
dc.subjectnavigational behavior motifsen
dc.subjectsensor-data-fusion frameworken
dc.subjectobjective anomaly detectionen
dc.subjecttarget prioritizationen
dc.titleTier-scalable reconnaissance: the future in autonomous C4ISR systems has arrived: progress towards an outdoor testbeden
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Coll Engn, Visual & Autonomous Explorat Syst Res Laben
dc.identifier.journalMICRO- AND NANOTECHNOLOGY SENSORS, SYSTEMS, AND APPLICATIONS IXen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
dc.contributor.institutionThe Univ. of Arizona (United States)
dc.contributor.institutionThe Univ. of Arizona (United States)
dc.contributor.institutionThe Univ. of Arizona (United States)
dc.contributor.institutionFoundation for Advancement of International Science (Japan)
refterms.dateFOA2018-09-11T23:58:01Z
html.description.abstractAutonomous reconnaissance missions are called for in extreme environments, as well as in potentially hazardous (e.g., the theatre, disaster-stricken areas, etc.) or inaccessible operational areas (e.g., planetary surfaces, space). Such future missions will require increasing degrees of operational autonomy, especially when following up on transient events. Operational autonomy encompasses: (1) Automatic characterization of operational areas from different vantages (i.e., spaceborne, airborne, surface, subsurface); (2) automatic sensor deployment and data gathering; (3) automatic feature extraction including anomaly detection and region-of-interest identification; (4) automatic target prediction and prioritization; (5) and subsequent automatic (re-) deployment and navigation of robotic agents. This paper reports on progress towards several aspects of autonomous (CISR)-I-4 systems, including: Caltech-patented and NASA award-winning multi-tiered mission paradigm, robotic platform development (air, ground, water-based), robotic behavior motifs as the building blocks for autonomous telecommanding, and autonomous decision making based on a Caltech-patented framework comprising sensor-data-fusion (feature-vectors), anomaly detection (clustering and principal component analysis), and target prioritization (hypothetical probing).


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