Machine vision tracking of carrier-deck assets for improved launch safety

Brynmor J. Davis; Richard W. Kaszeta; Robert D. Chambers; Bruce R. Pilvelait; Patrick J. Magari; Michael Withers; David Rossi

doi:10.1117/12.2015883

23 May 2013 Machine vision tracking of carrier-deck assets for improved launch safety

Brynmor J. Davis, Richard W. Kaszeta, Robert D. Chambers, Bruce R. Pilvelait, Patrick J. Magari, Michael Withers, David Rossi

Author Affiliations +

Proceedings Volume 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII; 87450Y (2013) https://doi.org/10.1117/12.2015883
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Brynmor J. Davis, Richard W. Kaszeta, Robert D. Chambers, Bruce R. Pilvelait, Patrick J. Magari, Michael Withers, and David Rossi "Machine vision tracking of carrier-deck assets for improved launch safety", Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87450Y (23 May 2013); https://doi.org/10.1117/12.2015883

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KEYWORDS

3D modeling

Cameras

Safety

Calibration

Edge detection

Solid modeling

3D image processing

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