SKY-Scanner:time-critical decision support

system surveilling aircraft landing and take-offKristina Lapin

Vilnius University, Lithuania

FP6 project title: “Development of an Innovative LIDAR Technology for New Generation ATM Paradigms”

Work package 9:1. Modelling paradigm2. Model and data definition features3. Model and data management features 4. Analytical methods and visual representations5. User interfaces6. Model and data interchange features

INO Workshop, December 7-9, 2010 2

INO Workshop, December 7-9, 2010

Project background• Radars

– insufficient accuracy at low altitudes • Lidar — laser radar

– exact, when directly targeted

SKY-Scanner DSS

Radar data

Lidar data

Position, risks, actions

Airport proceduresRules of air traffic

management

Fusion

INO Workshop, December 7-9, 2010

Current displays

• 2D screen– location– directions

• Altitude and velocity – as texts

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

INO Workshop, December 7-9, 2010

Decision support in real time

SK Y -Scanner ATM

Improved situational awareness

Reduced cognitive workload

Visualised landing/take-off

procedures

3D context visualisation

Decision support for ATM

INO Workshop, December 7-9, 2010 7

DSSINPUT

1) position2) speed

OUTPUT

True. Trajectory is OK – no risks.

False. Violation risks.

· Terrain peculiarities· Airport regulations· Ought to Be trajectory

Related work: Space-Time-Cube

INO Workshop, December 7-9, 2010 8

INO Workshop, December 7-9, 2010

Related work: pure 3D, Space-Time Cube

See Azuma, Daily and Krozel (1996)

9

INO Workshop, December 7-9, 2010

Pure 3D in SKY-ScannerPhotorealistic map with the Ought-to-Be trajectory

ViolationCorrect

10

INO Workshop, December 7-9, 2010 11

INO Workshop, December 7-9, 2010

Ideas from FP5 and FP6 EUROCONTROL projects

Picture within a picture Distortion display

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

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

SKY-Scanner method

• Strict area• Required trajectory• Aircraft position

INO Workshop, December 7-9, 2010

INO Workshop, December 7-9, 2010

Generalized terrain

Proof of concept in SKY-ScannerAbstract landscape with projection curtains

INO Workshop, December 7-9, 2010 17

SKY-Scanner demo

INO Workshop, December 7-9, 2010 18

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

INO Workshop, December 7-9, 201020

Kristina LAPIN Associate professor Vilnius Universitykristina.lapin@mif.vu.lt

http://www.sky-scanner.it/

Acknowledgements for the team:Vytautas ČYRAS, associate professorSigitas DAPKŪNAS, associate professorTomas PLANKIS, lecturerLaura SAVIČIENĖ, PhD student