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