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Grant: Strategic Projects - Group

Queen's University

$138,500.00

Engaging vehicles in ubiquitous service networks

EF 2014-15

Résumé
Modern vehicles are not only provided with advanced sensing capabilities but also with robust computing and communications functionalities that are aimed directly at increasing road safety and providing a more enjoyable experience for the driver. When parked or driving in non-critical conditions these resources are underutilized. Given the quantity of vehicles in a typical city, this underutilization provides a significant opportunity for research and development in vehicle intelligence. Our aim is to facilitate access to these unused resources As a computing paradigm, vehicular computing differs from static data centers, requiring innovative techniques to facilitate communication of data. Specifically, vehicular computing will rely on localized identification. We will use robust and multimodal vehicle localization techniques, dependable, road and network -to-vehicle communications, and a comprehensive location-sensible data transfer paradigm to to facilitate a reliable and functional computing paradigm that can be utilized in road sensing and monitoring, road-side processing and road-based communication. Our research team includes the expertise of our industrial partner, Intelligent Mechatronic Systems Inc (IMS) of Waterloo, ON. IMS has emerged as a world leader in developing in-vehicle connected car solutions like iLaneTM and DriveSync?. IMS has been dedicated to vehicle safety and intelligence, evolving beyond vehicle component applications to include industry leading, award-winning telematics and urban informatics solutions. Four PhD and four MSc students will receive training in this research program. They will develop knowledge in advanced communications networks for vehicle localization, vehicle networks and network informatics. They will also gain hands-on experience in vehicular computing and cloud-in-vehicle design and prototyping through collaboration with our industrial partner. As the need to rely on these untapped computing resource increases, so will the demand for this skill-set both in Canada and globally.
Programme
Strategic Projects - Group
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
430472-2012
Name nom
Hassanein, Hossam
Department département
Computing, School of
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2012
Award amount
138500
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1567
Committee name en
Strategic Projects Selection Panel - ICT
Committee name fr
Comité de sélection des projets stratégiques - ICT
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
3
Nb partie
3
Application title
Engaging vehicles in ubiquitous service networks
Keyword
NSERC
Application summary
Modern vehicles are not only provided with advanced sensing capabilities but also with robust computing and communications functionalities that are aimed directly at increasing road safety and providing a more enjoyable experience for the driver. When parked or driving in non-critical conditions these resources are underutilized. Given the quantity of vehicles in a typical city, this underutilization provides a significant opportunity for research and development in vehicle intelligence. Our aim is to facilitate access to these unused resources As a computing paradigm, vehicular computing differs from static data centers, requiring innovative techniques to facilitate communication of data. Specifically, vehicular computing will rely on localized identification. We will use robust and multimodal vehicle localization techniques, dependable, road and network -to-vehicle communications, and a comprehensive location-sensible data transfer paradigm to to facilitate a reliable and functional computing paradigm that can be utilized in road sensing and monitoring, road-side processing and road-based communication. Our research team includes the expertise of our industrial partner, Intelligent Mechatronic Systems Inc (IMS) of Waterloo, ON. IMS has emerged as a world leader in developing in-vehicle connected car solutions like iLaneTM and DriveSync?. IMS has been dedicated to vehicle safety and intelligence, evolving beyond vehicle component applications to include industry leading, award-winning telematics and urban informatics solutions. Four PhD and four MSc students will receive training in this research program. They will develop knowledge in advanced communications networks for vehicle localization, vehicle networks and network informatics. They will also gain hands-on experience in vehicular computing and cloud-in-vehicle design and prototyping through collaboration with our industrial partner. As the need to rely on these untapped computing resource increases, so will the demand for this skill-set both in Canada and globally.