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Proceedings Paper

Machine vision tracking of carrier-deck assets for improved launch safety
Author(s): Brynmor J. Davis; Richard W. Kaszeta; Robert D. Chambers; Bruce R. Pilvelait; Patrick J. Magari; Michael Withers; David Rossi
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Paper Abstract

We present an automated aircraft tracking system as a tool for improving carrier-deck safety. Using a single video stream, aircraft are tracked with relation to the deck, enabling the automatic evaluation of deck safety criteria. System operation involves matching observed image edge features to a calibrated projection of a 3D deck/aircraft model. By identifying the best-fit model, high accuracy 3D tracking is achieved. Testing with a 1:72-scale model indicates a full-scale accuracy on the order of 1 foot spatially and 1 degree in aircraft orientation. Further, our edge-matching based method is insensitive to illumination changes, robust to partial obscuration and highly parallelizable (with preliminary benchmarking indicating real-time feasibility). Automated aircraft tracking allows improved operational locations for launch control personnel and/or provides a second-look deck safety evaluation and, as such, represents a significant new tool for the assurance of carrier deck safety.

Paper Details

Date Published: 23 May 2013
PDF: 11 pages
Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87450Y (23 May 2013); doi: 10.1117/12.2015883
Show Author Affiliations
Brynmor J. Davis, Creare Inc. (United States)
Richard W. Kaszeta, Creare Inc. (United States)
Robert D. Chambers, Creare Inc. (United States)
Bruce R. Pilvelait, Creare Inc. (United States)
Patrick J. Magari, Creare Inc. (United States)
Michael Withers, Naval Air Warfare Ctr. Aircraft Division (United States)
David Rossi, Naval Air Warfare Ctr. Aircraft Division (United States)

Published in SPIE Proceedings Vol. 8745:
Signal Processing, Sensor Fusion, and Target Recognition XXII
Ivan Kadar, Editor(s)

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