Aura: An Automated System for the Real-Time Evaluation of Flight Maneuver Performance

The automated evaluation of flight maneuver performance in civilian and military aircraft enhances pilot proficiency and aircraft safety. In this article, we present Aura, an inaircraft flight maneuver training system that provides real-time performance feedback to pilots. Aura consists of sequential flight data capture, flight data analysis, and flight data visualization modules. The flight data capture module uses a pipeline of computer vision techniques and object detection algorithms to collect flight data optically. The flight data analysis module applies a transformer-based classifier network, trained on a custom dataset, to identify flight maneuvers in real-time. The flight data visualization module displays processed data to pilots on a hardware display in a task-specific layout. Aura does not need a physical interface with aircraft avionics, thereby circumventing data access issues in military aircraft. Aura is ground tested using UH-60M Black Hawk helicopter flight simulator recordings and is flight tested for several hours in a Cessna 172S G1000 to validate effectiveness.

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Publication Details

Journal
IEEE Intelligent Systems
Published
2025-01-01
DOI
https://doi.org/10.1109/mis.2025.3607236
Primary Topic
Aerospace and Aviation Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Aura: An Automated System for the Real-Time Evaluation of Flight Maneuver Performance

Joseph Divyan Thomas, Tony G. Chen, Mahdi Al‐Husseini, Joshua Barnett
IEEE Intelligent Systems
Aerospace and Aviation Technology
article

Aura: An Automated System for the Real-Time Evaluation of Flight Maneuver Performance

Joseph Divyan Thomas, Tony G. Chen, Mahdi Al‐Husseini, Joshua Barnett
article en

Abstract

The automated evaluation of flight maneuver performance in civilian and military aircraft enhances pilot proficiency and aircraft safety. In this article, we present Aura, an inaircraft flight maneuver training system that provides real-time performance feedback to pilots. Aura consists of sequential flight data capture, flight data analysis, and flight data visualization modules. The flight data capture module uses a pipeline of computer vision techniques and object detection algorithms to collect flight data optically. The flight data analysis module applies a transformer-based classifier network, trained on a custom dataset, to identify flight maneuvers in real-time. The flight data visualization module displays processed data to pilots on a hardware display in a task-specific layout. Aura does not need a physical interface with aircraft avionics, thereby circumventing data access issues in military aircraft. Aura is ground tested using UH-60M Black Hawk helicopter flight simulator recordings and is flight tested for several hours in a Cessna 172S G1000 to validate effectiveness.

IEEE Intelligent Systems
Georgia Institute of Technology (US), General Tire (United States) (US), American Institute of Aeronautics and Astronautics (US), Cadence Design Systems (United States) (US)
Openalex Percentile: Top 67%
Aerospace and Aviation Technology
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Aura: An Automated System for the Real-Time Evaluation of Flight Maneuver Performance — Joseph Divyan Thomas, Tony G. Chen, et al. · IEEE Intelligent Systems (2025) | TGRS Research Map | TGRS