Grant: Alliance Grants
Queen's University
$54,100.00
Pilot Training in Canada - Significant Challenge, Significant Opportunity
EF 2024-25
Résumé
The COVID-19 pandemic resulted in a broad range of global labour disruptions, with one of the most significant being a major shortage of qualified pilots. Although the shortage existed long before the pandemic has exacerbated the issue to one of crisis proportions; pilot training organizations simply cannot meet the demand and this has been recognized by the Canadian Federal government. Flight simulators have the potential to increase the output of trained pilots but are often inaccessible to many flight schools due to cost, availability, and proven training efficacy.
Mixed Reality (MR) simulators, which combine aspects of virtual and augmented reality offer a more accessible method and often lower cost means for pilot training. MR simulation can provide highly configurable and realistic flight experiences through real time visual, auditory and haptic feedback. These attributes also enable MR simulators when coupled with artificial intelligence (AI) and machine learning (ML), to act as autonomous dynamically adaptive instructional environments. The data acquired, including trainee assessment can be used to develop an in-depth competency-based pilot training system. The proposed research is focused on designing and developing an intelligent MR aviation simulator, which can provide more efficient and effective pilot training for Canadian flight schools. This will have a direct positive impact on the Canadian pilot shortage, reducing the time and cost of pilot training and improving the environmental and carbon footprint of flight training.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
601931-2024
Name nom
Hungler, Paul PC
Department département
Chemical Engineering
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
54100
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Pilot Training in Canada - Significant Challenge, Significant Opportunity
Keywords
adaptive simulation; artificial intelligence; augmented human performance; augmented reality; cognitive load; flight simualtor; human computer interface; machine learning; mixed reality; virtual reality
Application summary
The COVID-19 pandemic resulted in a broad range of global labour disruptions, with one of the most significant being a major shortage of qualified pilots. Although the shortage existed long before the pandemic has exacerbated the issue to one of crisis proportions; pilot training organizations simply cannot meet the demand and this has been recognized by the Canadian Federal government. Flight simulators have the potential to increase the output of trained pilots but are often inaccessible to many flight schools due to cost, availability, and proven training efficacy.
Mixed Reality (MR) simulators, which combine aspects of virtual and augmented reality offer a more accessible method and often lower cost means for pilot training. MR simulation can provide highly configurable and realistic flight experiences through real time visual, auditory and haptic feedback. These attributes also enable MR simulators when coupled with artificial intelligence (AI) and machine learning (ML), to act as autonomous dynamically adaptive instructional environments. The data acquired, including trainee assessment can be used to develop an in-depth competency-based pilot training system. The proposed research is focused on designing and developing an intelligent MR aviation simulator, which can provide more efficient and effective pilot training for Canadian flight schools. This will have a direct positive impact on the Canadian pilot shortage, reducing the time and cost of pilot training and improving the environmental and carbon footprint of flight training.