Platform camera aircraft detection for approach evaluation and training

Abstract

Approach training currently relies solely on manual observation of and verbal feedback to the pilot. This project aims to provide both pilots and landing signal officers (LSOs) with valuable information about individual approaches in the carrier landing environment. The author investigated fully automatic flight path acquisition by means of computer vision-based analyses of platform camera video. The obtained data supports enhanced LSO training, real-time approach analysis and pilot self-improvement through advanced review capabilities.