BLUF

The AI system is being developed for KC-46 aerial refuelling. It aims to use computer vision and machine learning to assess performance, provide objective post-flight feedback, reduce errors, and enhance aircrew training and mission readiness.

Learning Outcomes 

  • Explain how artificial intelligence, computer vision, and machine learning can be applied to aerial refuelling operations to measure performance, identify deviations from desired flight profiles, and support objective crew assessment.
  • Evaluate the advantages of AI-enabled performance analysis in reducing human bias, improving aircrew proficiency, mitigating human-factor errors, and enhancing mission readiness.
  • Assess the role of AI-driven training technologies such as visual analytics, interactive debriefing tools, simulators, and virtual or augmented reality systems in supporting future military aviation training and performance assessment. 

References