Transcript Document 7609656

Intelligent Surface Threat
Identification System
(ISTIS)
IEEE Aerospace Conference 2007
Presented by:
Robert Richards, Ph.D.
[email protected]
www.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
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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
ID Personnel
Recommendations
Threat Processing
Trigger Processing
Agent
Architecture
Architecture
User Interface
Manager
ID Processing
Merge-Split Processing
Path Analysis
Path Segmenting
Sanity Checking
Data Feed Manager
Track trajectory and other data
AI Techniques
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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
Example of Density of Contacts that
Need Monitoring and Assessing
Example Scenario 1
LCS
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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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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
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
Identification System
(ISTIS)
IEEE Aerospace Conference 2007
Presented by:
Robert Richards, Ph.D.
[email protected]
www.stottlerhenke.com