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SKY-Scanner: time-critical decision support system surveilling aircraft landing and take-off Kristina Lapin Vilnius University, Lithuania
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FP6 project title: “Development of an Innovative LIDAR Technology for New Generation ATM Paradigms” Work package 9: 1.Modelling paradigm 2.Model and data definition features 3.Model and data management features 4.Analytical methods and visual representations 5.User interfaces 6.Model and data interchange features INO Workshop, December 7-9, 2010 2
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Project background Radars –insufficient accuracy at low altitudes Lidar — laser radar –exact, when directly targeted
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INO Workshop, December 7-9, 2010 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 INO Workshop, December 7-9, 2010
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Decision support in real time
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Decision support for ATM INO Workshop, December 7-9, 2010 7
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Related work: Space-Time-Cube INO Workshop, December 7-9, 2010 8
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Related work: pure 3D, Space-Time Cube See Azuma, Daily and Krozel (1996) 9
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INO Workshop, December 7-9, 2010 Pure 3D in SKY-Scanner Photorealistic map with the Ought-to-Be trajectory ViolationCorrect 10
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INO Workshop, December 7-9, 2010 11
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INO Workshop, December 7-9, 2010 Ideas from FP5 and FP6 EUROCONTROL projects Picture within a picture Distortion display
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INO Workshop, December 7-9, 2010 Ideas from FP5 and FP6 EUROCONTROL projects See W. Wong et al. (2007) 3D in 2D Wall view with altitude rulers Wall view of approach control 2D in 3D Lens display
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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. INO Workshop, December 7-9, 2010 14
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SKY-Scanner method Strict area Required trajectory Aircraft position INO Workshop, December 7-9, 2010
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Generalized terrain
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Proof of concept in SKY-Scanner Abstract landscape with projection curtains INO Workshop, December 7-9, 2010 17
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SKY-Scanner demo INO Workshop, December 7-9, 2010 18
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INO Workshop, December 7-9, 2010 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 19
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INO Workshop, December 7-9, 2010 20 Kristina LAPIN Associate professor Vilnius University kristina.lapin@mif.vu.lt http://www.sky-scanner.it/ Acknowledgements for the team: Vytautas ČYRAS, associate professor Sigitas DAPKŪNAS, associate professor Tomas PLANKIS, lecturer Laura SAVIČIENĖ, PhD student
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