Competency self-assessment for a learning-based autonomous aircraft system

Competency self-assessment for a learning-based autonomous aircraft system

IntroductionFuture concepts for airborne autonomy point toward human operators moving out of the cockpit and into supervisory roles. Urban air mobility, airborne package delivery, and military intelligence, surveillance, and reconnaissance (ISR) are all actively exploring such concepts or currently...

Full description

Saved in:
Bibliographic Details
Main Authors: Nicholas Conlon, Aastha Acharya, Jamison McGinley, Trevor Slack, Camron A. Hirst, Marissa D’Alonzo, Mitchell R. Hebert, Christopher Reale, Eric W. Frew, Rebecca Russell, Nisar R. Ahmed
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Aerospace Engineering
Subjects:
machine self-confidence
human-autonomy teaming
intelligent aerospace systems
trustworthy AI
uncrewed aerial vehicles
Online Access:https://www.frontiersin.org/articles/10.3389/fpace.2025.1454832/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fpace.2025.1454832/full

Similar Items