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Intelligent Surface Threat Identification System (ISTIS)

Intelligent Surface Threat Identification System (ISTIS). IEEE Aerospace Conference 2007. Presented by: Robert Richards, Ph.D. Richards@StottlerHenke.com www.stottlerhenke.com. Objectives. Improve Littoral ID Process, quality, and efficiency Better ID estimations from available data

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Intelligent Surface Threat Identification System (ISTIS)

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  1. Intelligent Surface Threat Identification System (ISTIS) IEEE Aerospace Conference 2007 Presented by: Robert Richards, Ph.D. Richards@StottlerHenke.com www.stottlerhenke.com

  2. Objectives • Improve Littoral ID Process, quality, and efficiency • Better ID estimations from available data • Sooner ID determinations • Prevention of ID “Surprises” • Better use of scarce ID resources • Investigate littoral, surface ID techniques • Implement in the Intelligent Surface Threat ID System (ISTIS)

  3. Related Projects • Intelligent Identification Software Module (IISM) • LCS Undersea Threat Assessment • TAO ITS and ITS authoring tool • GRTS TAO ITS • Navy Tactics Representation and Execution System (TRES) • Visual Intelligent Behavior Authoring (SimBionic) • Advanced Early Warning Real-Time Advisory System (AEW/RTAS)

  4. Motivation:Current Identification Problems • Wide variation in ID abilities • Knowing whose-who even after ID information received • Track Split/Merge • Maintaining Competing Hypotheses for a track • Classified Automatic Track ID Problems • Remembering Track History (both short and long-term) • Analyzing behavior/correlations • Correlating new tracks with previous tracks • Knowing/Executing Optimal ID Procedures • Quickly Assessing Threat

  5. Architecture

  6. AI Techniques • Truth Maintenance • Case-Based Reasoning • Behavior Transition Networks (BTNs) • Fuzzy Logic • Pattern Recognition/Learning • Constraint-Based Planning, Scheduling, and Resource Optimization • Knowledge Elicitation / Cognitive Task Analysis • Expert Systems

  7. Example of Density of Contacts that Need Monitoring and Assessing

  8. Example Scenario 1

  9. Example Scenario 2.1

  10. Example Scenario 2.2

  11. Example Scenario 2.3

  12. Example Scenario 2.4

  13. Example Scenario 2.5 (Pause)

  14. Example Scenario 2

  15. ISTIS Capabilities • Intelligent Tactical Memory: • Track attributes (position, velocity, ID information, History) • Associate previous tracks with new track information. • Complete track history (track merge or ID swap) • Past Relevant Tracks/Patterns used to recommend/warn • DefinableID, Threat Assessment, & Notification Criteria • Intelligent Track History Analysis(position/velocity/proximity/interactions/behavior correlations) to estimate associations & hostile intentions • Multiple Competing Hypotheses for ID (type/owner country) with Hierarchy of possible ID values (type, color/country)

  16. ISTIS Capabilities (More & Re-stated) • Merge-Split Processing for Radar Merges and Track Fades and Reasoning through Multiple Hypotheses • Maneuver Correlation Detection • Surface ID Processing, Fusion, and Behavior Analysis • Action Recommendation based on Heuristics • Route Planning to ID a Set of Contacts and/or Search an Area • Ability of Tactical Personnel to Edit and Change ID, Alerting, and Recommendation Behaviors in Real-time

  17. ISTIS Dynamic Map Display

  18. ISTIS Track Information, Recommendations, and Alerts Display

  19. Demonstration • Strait of Malacca • Alerts: Leaving commercial lanes / intercepting • Merge-Split: automatic reasoning backward and forward • Multiple hypothesis / Hierarchical reasoning • Intercept/formation maneuver correlations • Heading and UAV recommendations • Immediate Threat alert • Demo video

  20. Conclusion • ISTIS is an AI system that improves the Littoral ID Process, quality, and efficiency by • Better ID estimations from available data • Tracking ambiguous signals • storing and handling past target data • Sooner ID determinations • Prevention of ID “Surprises” • assessing threat levels & notifying users of alert conditions • Better use of scarce ID resources • filtering out insane data • keeping track of multiple track hypotheses based on the fusion of evidence from multiple sources • Capable today and continuing to be enhanced • Lockheed Martin (a LCS Builder) is partner • Interested in other potential users or partners

  21. Intelligent Surface Threat Identification System (ISTIS) IEEE Aerospace Conference 2007 Presented by: Robert Richards, Ph.D. Richards@StottlerHenke.com www.stottlerhenke.com

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