| KEYWORD |
Building an Application for Pilot Task Recognition
keywords FLIGHT SIMULATION, PILOT DIGITAL ASSISTANT, PILOT REAL TIME MONITORING, SINGLE PILOT OPERATIONS
Reference persons GIORGIO GUGLIERI
External reference persons Dr. Nicola Puca (nicola.puca@polito.it)
Research Groups 08- Dinamica, controllo e simulazione del volo
Thesis type NUMERICAL AND EXPERIMENTAL
Description Context of Application: The aviation industry is exploring Single-Pilot Operations (SPOs) to reduce operational costs amidst an anticipated shortage of professional pilots. To maintain high safety standards in a reduced-crew scenario, integrating automated assistance systems is crucial. A promising approach to virtual pilot assistance involves dynamically adjusting the level of automation based on real-time assessments of pilot behavior, comparing detected actions against established situational procedures.
Aim of the Thesis: As a step towards real-time task derivation, the primary goal has been to post-process and analyze data from a specific mission type to create a hierarchical task structure. This structure is then compared to a reference task workflow model to identify any deviations, such as missed or incomplete procedures or tasks.
Our intent is to improve the current Python-based tool that was developed with this goal in mind. The modularity of the code should be improved to achieve the goal of a portable application, as the next crucial step will be to integrate the system into the cockpit for real-time data analysis.
See also building an application for pilot task recognition.docx
Required skills Minimum programming skills. Background in aeronautics.
Deadline 30/07/2025
PROPONI LA TUA CANDIDATURA