Transcript Slide 1

SKY-Scanner:
time-critical decision support
system surveilling aircraft landing
and take-off
Kristina Lapin
Vilnius University, Lithuania
FP6 project title: “Development of an Innovative LIDAR
Technology for New Generation ATM Paradigms”
Work package 9:
1.
2.
3.
4.
5.
6.
Modelling paradigm
Model and data definition features
Model and data management features
Analytical methods and visual representations
User interfaces
Model and data interchange features
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Project background
• Radars
– insufficient accuracy at low altitudes
• Lidar — laser radar
– exact, when directly targeted
Radar
data
Fusion
SKY-Scanner DSS
Position,
risks, actions
Lidar
data
Airport procedures
Rules of air traffic
management
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Current displays
• 2D screen
– location
– directions
• Altitude and velocity
– as texts
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Time-critical decision support
• Human cognitive processes
– Encoding, inference, maping, application, response
• Decision support models
– Rational (logical, analytical)
• An optimal solution, but requires to calculate the utility of
each alternative
– Naturalistic (action-based, recognition-primed)
• An acceptable solution, when mathematical calculations
are not feasible
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Decision support in real time
SKY-Scanner ATM
Improved
situational
awareness
Reduced
cognitive
workload
3D context
visualisation
Visualised
landing/take-off
procedures
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Decision support for ATM
OUTPUT
INPUT
DSS
1) position
2) speed
True. Trajectory is OK – no risks.
False. Violation risks.
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·
·
Terrain peculiarities
Airport regulations
Ought to Be trajectory
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Related work: Space-Time-Cube
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Related work:
pure 3D, Space-Time Cube
See Azuma, Daily and Krozel (1996)
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Pure 3D in SKY-Scanner
Photorealistic map with the Ought-to-Be trajectory
Correct
Violation
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Ideas from FP5 and FP6
EUROCONTROL projects
Picture within a picture
Distortion display
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Ideas from FP5 and FP6
EUROCONTROL projects
3D in 2D
Lens display
See W. Wong et al. (2007)
2D in 3D
Wall view with
altitude rulers
Wall view of
approach control
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SKY-Scanner Decision Support
Scenario
• A soft control area
– the collision risk between the airplanes is tracked
– the altitude is controlled;
• A strict control area
– a landing procedure is assigned to the track
– the constraints are followed.
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SKY-Scanner method
• Strict area
• Required trajectory
• Aircraft position
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Generalized terrain
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Proof of concept in SKY-Scanner
Abstract landscape with projection curtains
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SKY-Scanner demo
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Conclusions
• SKY-Scanner DSS
– Provides aircraft surveillance at low altitudes
– The laboratory implementation complies the third
technology readiness level (TRL-3)
• Decision-making scenario
– Improves situational awareness
– Reduces cognitive workload
• Future work
– User studies to validate the concept
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http://www.sky-scanner.it/
Kristina LAPIN
Associate professor
Vilnius University
[email protected]
Acknowledgements for the team:
Vytautas ČYRAS, associate professor
Sigitas DAPKŪNAS, associate professor
Tomas PLANKIS, lecturer
Laura SAVIČIENĖ, PhD student
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