Computer Science
3 years ago

Deep learning boosts small aircraft detection accuracy to nearly 100%, preventing collisions.

Aircraft Engineering and Aerospace Technology
Small aircraft detection using deep learning
Emre Kıyak, Gulay Unal

Paper Summary

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The article discusses how deep learning models were used to track small aircraft to prevent collisions and improve target tracking. Four different models were developed and compared: DCNN, DCNNFN, TLDCNN, and FNDCNNTL. The training times and accuracy percentages varied for each model, with FNDCNNTL achieving nearly 100% accuracy in 34 minutes and 33 seconds. This model outperformed previous results in the literature, showing better tracking capabilities for small aircraft.