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Intelligent Surface Threat Identification System (ISTIS)

Presenting ISTIS, an AI system designed to improve Littoral ID processes, enhance quality, efficiency, and prevent ID surprises. Utilizing advanced techniques like Truth Maintenance, Fuzzy Logic, and more for better surface threat analysis. Explore its capabilities, demonstrations, and potential applications.

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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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