Grant: Engage Grants Program
Royal Military College of Canada
$25,000.00
New model for multi-sensor aided navigation in GPS-deprived environments
FY 2018-19
Summary
As the development and application of unmanned aerial systems (UAS) continues so does the requirement for*enhanced improvements to their navigation capabilities. This project extends the development of an Aided*Navigation system (ANS) which provides an alternative means for UAS navigation. Enhancing existing ANS*algorithms, this project will combine information from terrain, optical and anomalies of the Earth Magnetic*fields for determining the UAS coordinates of motion. The proposed technology is especially valuable for both*military and civilian UAS as well as aircraft and ships as it enables accurate navigating in areas where GPS has*been compromised, such as battle environments, and where GPS signal is degraded, such as is the case when*navigation in the Arctic.
Program
Engage Grants Program
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
529746-2018
Name nom
Perez, Ruben
Department département
Mechanical Engineering
Organization id
30
Institution établissement
Royal Military College of Canada
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
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
2108
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Aerospace, aeronautical and automotive engineering
Research subject fr
Génie aérospatial, aéronautique et automobile
Partie
1
Nb partie
1
Application title
New model for multi-sensor aided navigation in GPS-deprived environments
Keyword
NSERC
Application summary
As the development and application of unmanned aerial systems (UAS) continues so does the requirement for*enhanced improvements to their navigation capabilities. This project extends the development of an Aided*Navigation system (ANS) which provides an alternative means for UAS navigation. Enhancing existing ANS*algorithms, this project will combine information from terrain, optical and anomalies of the Earth Magnetic*fields for determining the UAS coordinates of motion. The proposed technology is especially valuable for both*military and civilian UAS as well as aircraft and ships as it enables accurate navigating in areas where GPS has*been compromised, such as battle environments, and where GPS signal is degraded, such as is the case when*navigation in the Arctic.
