Intelligent Surface Threat Identification System (ISTIS) - PowerPoint PPT Presentation

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Intelligent Surface Threat Identification System (ISTIS)

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Current Identification Problems. Wide variation in ID abilities ... assessing threat levels & notifying users of alert conditions. Better use of scarce ID resources ... – PowerPoint PPT presentation

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Title: Intelligent Surface Threat Identification System (ISTIS)


1
Intelligent Surface Threat Identification System
(ISTIS)
  • IEEE Aerospace Conference 2007

Presented by Robert Richards, Ph.D. Richards_at_S
tottlerHenke.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
MotivationCurrent 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
  • Definable ID, 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_at_S
tottlerHenke.com www.stottlerhenke.com
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