uav see & avoid employing vision sensors march 4, 2004 eric portilla northrop grumman...
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HEADER / FOOTER INFORMATION (SUCH AS PRIVATE / CONFIDENTIAL)
UAV See & Avoid Employing Vision Sensors
March 4, 2004
Eric PortillaNorthrop Grumman CorporationIntegrated Systems
Aerospace Control and Guidance Systems Committee Meeting
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HEADER / FOOTER INFORMATION (SUCH AS PRIVATE / CONFIDENTIAL)
See and Avoid Role in Collision Avoidance
Collision Avoidance Has Many Layers of Protection See & Avoid Functionality Is Last
Line of Defense All Preventative Measures Fail
Procedural Air Traffic Management
See & Avoid Sensors UAV Blurs Functional Boundary
Source Of Data Not Important Work With Cooperative Sensors
Procedural
CooperativeTraffic Avoidance
Air TrafficManagement
See & Avoid
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Manned Vehicles See & Avoid Detection (See)
Cooperative Situational Awareness Transponder Communication Position Broadcasts Ground Radar Uplink
Pilot Eyes Verification of Situational Data Non-Cooperative Vehicles
Avoidance Collision Avoidance Algorithms Pilot Intangibles
Experience Reasoning Data Fusion and Evaluation
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Sensor Requirements Driven By Avoidance
Provide Sufficient Information Tracking
Associate Current to Previous Data ID Data Correlation
Path Projection Determine Threat Estimate Time To Collision
Adequate Detection Range Time To Perform A Maneuver
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TCAS II Surveillance Leverage Aircraft Transponders
Interrogates on 1030 MHz Mode A/C All Calls & Mode S
Replies On 1090 MHz Altitude ICAO Address (Mode S Only)
Directional Antenna Relative Bearing (~ +/- 5°)
Response Time Used To Calculate Range
Certified and Mandated Required By FAA
>30 Passengers >33,000 lbs Gross Take-Off Weight
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Automatic Dependent Surveillance – Broadcast (ADS-B) Broadcasts
Own GPS Position, Altitude Accurate
ID Intent
Range (>100 nmiles) Rebroadcasts Extend Range
Three Datalinks Universal Access Transceiver Mode-S VDL – VHF (Asia and Europe Only)
Requires Compatible Equipment Not Mandated Currently Not Widely Used
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Class A Airspace
TransponderEquippedAircraft
TransponderEquippedAircraft
100nmi
TransponderEquippedAircraft
Non-TransponderEquippedAircraft
Non-TransponderEquippedAircraft
ADS-B Conceptual Diagram
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Traffic Information System–Broadcast (TIS-B) Ground-Based System
Integrates Primary Radar (No Altitude) Transponder Returns
Broadcasts Information ADS-B Format
“Fills The Gap” For Situational Traffic Awareness Provides Non-Cooperative Radar Data
Requires Ground Infrastructure Currently Only Pockets of Coverage
Alaska Capstone Ohio Valley Prescott, Az
Currently Only Transponder Data
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TIS-B Conceptual Diagram
Class A Airspace
TransponderEquippedAircraft
TransponderEquippedAircraft
100nmi
TransponderEquippedAircraft
Non-TransponderEquippedAircraft
Non-TransponderEquippedAircraft
Rebroadcast Equipment
Rebroadcast Equipment
PrimaryRadar
PrimaryRadar
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Radar Gimbaled or Electronically
Scanned Configured To Meet Field
Of Regard Requirements Detected Threat Data
Elevation Angle Bearing Angle Range
Good Range (8 - 10 nm for GA)
All Weather No ID
Requires Correlation Algorithm
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Vision Sensors
Multiple Fixed Staring Sensors Configured To Meet
Field Of Regard Requirements
On-board Image Processing for Moving Target Detection
Detected Threat Data Elevation Angle Bearing Angle Image Size
Does Not Provide Range
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Detection Techniques
Detection Own Vehicle Motion
Causes Image Movement Creates An Optical
Flow Field Intruder Aircraft Do Not
Move With The Background Flow Field
Discontinuity
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SBIR Phase II/IIE Technical Approach Demonstration
Processed Video(Slow Motion)
• Aircraft motion causes image of background to move across detector
• Missile trajectories do not move with the background
• Optical flow field discontinuity results
• “Discontinuity filter” identifies missile location
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See & Avoid Sensing Architecture
Sensor Data Management
and Correlation• Establish
Sensor Data Tracks
• Correlate Sensor Data to Intruders
Radars
VisionSensors
KF-based Optimal Tracking
Filter• One Filter for
Each Intruder• FDI
– Sensor Errors
– Sensor Correlation Errors
AutonomousAvoidance
Subject to Ownship Performance Limitations
• Reliable and Fault-Tolerant Detect, See, and Avoid (DSA) Capability Through Multiple Dissimilar Sensors Integration
ADS-BTIS-B
TCAS
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Combined Sensor Configuration Benefits Realized
Protection Against All Vehicles Coop & Non-Coop
Multiple Dissimilar Sensors Redundancy Fault Tolerance Reliability
Concept of Operations: Fuse Multi-Sensor Data Processing Track Reports:
TCAS, ADS-B & TIS-B Can Be Correlated On-Board Provide Same ICAO Address ID’s
Vision And Radar Require Track Correlation Sensor Level? System Level?
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Sensor Protection Volumes
TCAS/ADS-B/TIS-B: Cooperative, emission All aspect All weather
Radar: Non-cooperative, emission All weather
Vision: Non-cooperative, no
emission
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Fusion Architectures: “Pre-Detection Fusion”
Pros: Theoretically Optimal Topology Allows Optimal Associations More Accurate Global Tracks
Cons: Computationally Prohibitive With Many Targets (NP Hard) High Integration Risk (Sensors with Different Sample Rates) Susceptible to Sensor Degradation; Difficult to Detect and
Isolate Faults
Sensor 1
Sensor 2
Sensor n
Centralized
Measurement
Association
and Tracking
Local
Measurements
Local
Measurements
Global
Tracks
Local
Measurements
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Fusion Architectures: “Post-Detection Fusion”
Pros: Reduced Complexity for Local Multi-Target Trackers Improved Modularity & Easier Integration Improved Sensor Fault Detection & Isolation Capability
Cons: Less Accurate Data Associations and Global Tracks
Sensor 1
Sensor 2
Sensor n
Tra
ckA
sso
ciat
ion
Local
Measurements
Tra
ck
Fu
sio
n
Multi-TargetTracker
Local
Measurements
Multi-TargetTracker
Local
Measurements
Multi-TargetTracker
Local
Tracks
Local
Tracks
Local
Tracks
Local
Tracks
Global
Tracks
Correlated
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Summary
Equivalent Level Of Safety Detect, Recognize, Decide, and Maneuver Perform at Least as Well as if a Human Pilot Was
Onboard In Reality Much Higher
Vision Sensors Easily Out Perform Pilot Eyes Data Processing Remains The Key!
Multiple Sensors Create Robustness But Add Complexity Data Fusion
Target Duplication False Targets Sensor Transitions