Grant: Collaborative Research and Development Grants
University of Waterloo
$160,751.00
Extended UAV-based sensing for mapping in support of ground vehicles
FY 2018-19
Summary
Today, advanced Light Armored Vehicle (LAV) mobility systems can support rapid advancement over very difficult off-road terrain and is often limited only by the operating crew's ability to select the desired route and assure safe traverse through the preferred route. The LAV is a highly versatile military platform which has evolved to provide track-like off-road mobility while retaining the ability to travel on improved roads rapidly and safely without inflicting undue harm to the infrastructure. Unmanned Vehicles (UVs) acting as sensors in support of the LAV will provide terrain information much further ahead of the LAV than typical vehicle mounted equipment alone can. In land based military operations, the availability of timely and extended situational awareness is critical to the success and safety of various operations. Therefore, this research program will focus on developing enabling technology for our industry partner GDLS-C using extended UAV-based sensing for terrain mapping to support mission planning for ground vehicles; both LAV and unmanned Ground Vehicles (UGV). In specific terms, this collaborative project has three main themes captures by the following research objectives: 1) Rapid incremental map building using sensors on-board LAV/UGV and UAV teams, 2) Path recommendation and autonomous path execution based on 3D terrain maps and 3) High fidelity multi-agent system modeling, control and co-ordination. The research results will provide a new capability that directly supports Canada's Adaptive Dispersed Operations (ADO) Concept.*
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
515360-2017
Name nom
Melek, William
Department département
Mechanical Engineering and Mechatronics
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
160751
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
700
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Transportation systems and services
Area of application fr
Services et systèmes de transport
Research subject code
2604
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Intelligent systems applications
Research subject fr
Applications de systèmes intelligents
Partie
2
Nb partie
2
Application title
Extended UAV-based sensing for mapping in support of ground vehicles
Keyword
NSERC
Application summary
Today, advanced Light Armored Vehicle (LAV) mobility systems can support rapid advancement over very difficult off-road terrain and is often limited only by the operating crew's ability to select the desired route and assure safe traverse through the preferred route. The LAV is a highly versatile military platform which has evolved to provide track-like off-road mobility while retaining the ability to travel on improved roads rapidly and safely without inflicting undue harm to the infrastructure. Unmanned Vehicles (UVs) acting as sensors in support of the LAV will provide terrain information much further ahead of the LAV than typical vehicle mounted equipment alone can. In land based military operations, the availability of timely and extended situational awareness is critical to the success and safety of various operations. Therefore, this research program will focus on developing enabling technology for our industry partner GDLS-C using extended UAV-based sensing for terrain mapping to support mission planning for ground vehicles; both LAV and unmanned Ground Vehicles (UGV). In specific terms, this collaborative project has three main themes captures by the following research objectives: 1) Rapid incremental map building using sensors on-board LAV/UGV and UAV teams, 2) Path recommendation and autonomous path execution based on 3D terrain maps and 3) High fidelity multi-agent system modeling, control and co-ordination. The research results will provide a new capability that directly supports Canada's Adaptive Dispersed Operations (ADO) Concept.*