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Grant: Collaborative Research and Development Grants

Ryerson University

$50,000.00

Guidance and navigation for swarms of unmanned aerial vehicles

FY 2017-18

Summary
This proposal involves the development of technologies to enable the flight of drone swarms. Swarms are a large number of drones working together to accomplish a common goal. Swarms can be used to collect data, perform inspections, delivery, monitor situations in real-time and can even be used for entertainment. These can be applied to markets such as precision agriculture, mining, oil and gas, construction, delivery, defense, and entertainment. Swarms allow for the rapid collection of large amounts of data from numerous points and can do so in a robust, reliable manner. However, there are a number of technological advancements that are needed to make this possible. The proposed research addresses two key technical challenges: 1) obstacle and collision avoidance among UAVs; 2) robust accurate navigation for swarms of UAVs. Technical challenge 1) needs to be solved also to allow UAVs to operate safely in close proximity to each other, as well as in close proximity to the ground where unforeseen obstacles may occur. Technical challenge 2) needs to be solved to enable swarms of UAVs to operate safely in close proximity to each other. The Canadian UAV industry is growing rapidly. The proposed research will enhance the Canadian knowledge base in UAV technologies, in particular in the areas of control of swarms, obstacle and collision avoidance, and robust accurate relative navigation.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
507797-2016
Name nom
DeRuiter, Anton
Department département
Aerospace Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2016
Award amount
50000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
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
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
2
Application title
Guidance and navigation for swarms of unmanned aerial vehicles
Keyword
NSERC
Application summary
This proposal involves the development of technologies to enable the flight of drone swarms. Swarms are a large number of drones working together to accomplish a common goal. Swarms can be used to collect data, perform inspections, delivery, monitor situations in real-time and can even be used for entertainment. These can be applied to markets such as precision agriculture, mining, oil and gas, construction, delivery, defense, and entertainment. Swarms allow for the rapid collection of large amounts of data from numerous points and can do so in a robust, reliable manner. However, there are a number of technological advancements that are needed to make this possible. The proposed research addresses two key technical challenges: 1) obstacle and collision avoidance among UAVs; 2) robust accurate navigation for swarms of UAVs. Technical challenge 1) needs to be solved also to allow UAVs to operate safely in close proximity to each other, as well as in close proximity to the ground where unforeseen obstacles may occur. Technical challenge 2) needs to be solved to enable swarms of UAVs to operate safely in close proximity to each other. The Canadian UAV industry is growing rapidly. The proposed research will enhance the Canadian knowledge base in UAV technologies, in particular in the areas of control of swarms, obstacle and collision avoidance, and robust accurate relative navigation.