Intelligent Surface Threat Intelligent Surface Threat Identification System Identification System (ISTIS)(ISTIS)
IEEE Aerospace Conference 2007IEEE Aerospace Conference 2007
Presented by:Presented by: Robert Richards, Ph.D.Robert Richards, Ph.D.
[email protected]@StottlerHenke.comwww.stottlerhenke.comwww.stottlerhenke.com
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)
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)
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
Architecture
Track trajectory and other data
Path Segmenting Sanity Checking
Threat Processing Trigger Processing
ID Processing Merge-Split Processing
Path Analysis
User Interface Manager
Data Feed Manager
Age
nt
Arc
hite
ctur
e
Recommendations
ID Personnel
AI TechniquesAI Techniques• Truth MaintenanceTruth Maintenance• Case-Based ReasoningCase-Based Reasoning• Behavior Transition Networks (BTNs)Behavior Transition Networks (BTNs)• Fuzzy LogicFuzzy Logic• Pattern Recognition/LearningPattern Recognition/Learning• Constraint-Based Planning, Scheduling, and Constraint-Based Planning, Scheduling, and
Resource OptimizationResource Optimization• Knowledge Elicitation / Cognitive Task Knowledge Elicitation / Cognitive Task
AnalysisAnalysis• Expert SystemsExpert Systems
Example of Density of Contacts that Need Monitoring and Assessing
Example Scenario 1
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6 7
LCS
Example Scenario 2.1
Example Scenario 2.2
Example Scenario 2.3
Example Scenario 2.4
Example Scenario 2.5 (Pause)
Example Scenario 2
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3
2
4
6
1
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)
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
ISTIS Dynamic Map Display
ISTIS Track Information, Recommendations, and Alerts Display
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
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
Intelligent Surface Threat Intelligent Surface Threat Identification System Identification System (ISTIS)(ISTIS)
IEEE Aerospace Conference 2007IEEE Aerospace Conference 2007
Presented by:Presented by: Robert Richards, Ph.D.Robert Richards, Ph.D.
[email protected]@StottlerHenke.comwww.stottlerhenke.comwww.stottlerhenke.com
