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Grant: Alliance Grants

University of Waterloo

$147,534.00

5G Enabled Autonomous Fleet Mobility

EF 2023-24

Résumé
Autonomous Fleet Mobility (AFM) systems are becoming more vital in certain indoor and outdoor applications and services. For example, by 2030, seniors will make up 23 percent of Canadians, resulting in staff shortages in health and long-term care settings. This will underline the need for self-driving mobility systems that can perform basic tasks such as moving patients/residents and equipment from one room or building to another. Similarly, public transportation is becoming the sole method of mobility in some cities' core areas, highlighting the need for mobility systems that can ease financial pressure and address driver shortages. Despite significant advancements in recent years, indoor and outdoor AFM systems still face cost and safety challenges. The current use of costly on-vehicle sensors in AFM systems increases production costs and does not address obstructed views in busy and cluttered indoor/outdoor environments, causing significant safety concerns. Our solution for the AFM system is to replace most of the on-vehicle perception sensors with infrastructure sensor nodes (ISNs) that use existing 5G networks for global fleet perception, and to replace the on-vehicle computational devices with cloud computing by leveraging existing 5G networks. This solution has significant potential to considerably reduce the cost and complexity in AFM systems, both in indoor and outdoor operations. Although the proposed technology will have uses in many applications, our research focus and implementation will be on long-term care and health care facilities and public transportation. This research program will develop and deploy the first 5G-enabled outdoor and indoor mobility fleet system in the world to address the impending shortage of health care workers, reduce health care costs in Canada, develop an economical approach to public transportation, and position Canada as a leader in this field. It will also train students in autonomous mobility systems, which will be essential in many industries and services in Canada and around the world.
Programme
Alliance Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
576727-2022
Name nom
Khajepour, Amir A
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
2023
Competition year année de concours
2022
Award amount
147534
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
701
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Ground (road and rail)
Area of application fr
Terrestre (routier et ferroviaire)
Research subject code
2109
Research subject group en
Mechanical engineering
Research subject group fr
Mechanical systems and instrumentation
Research subject en
Génie mécanique
Research subject fr
Instrumentation et systèmes mécaniques
Application title
5G Enabled Autonomous Fleet Mobility
Keyword
5G networks; 5G networks for localization; Autonomous fleet mobility; Autonomous public transportation; Autonomous vehicles; Cloud computing; Decision making; Edge and cloud computation; Health care autonomous mobility; Perception and localization
Application summary
Autonomous Fleet Mobility (AFM) systems are becoming more vital in certain indoor and outdoor applications and services. For example, by 2030, seniors will make up 23 percent of Canadians, resulting in staff shortages in health and long-term care settings. This will underline the need for self-driving mobility systems that can perform basic tasks such as moving patients/residents and equipment from one room or building to another. Similarly, public transportation is becoming the sole method of mobility in some cities' core areas, highlighting the need for mobility systems that can ease financial pressure and address driver shortages. Despite significant advancements in recent years, indoor and outdoor AFM systems still face cost and safety challenges. The current use of costly on-vehicle sensors in AFM systems increases production costs and does not address obstructed views in busy and cluttered indoor/outdoor environments, causing significant safety concerns. Our solution for the AFM system is to replace most of the on-vehicle perception sensors with infrastructure sensor nodes (ISNs) that use existing 5G networks for global fleet perception, and to replace the on-vehicle computational devices with cloud computing by leveraging existing 5G networks. This solution has significant potential to considerably reduce the cost and complexity in AFM systems, both in indoor and outdoor operations. Although the proposed technology will have uses in many applications, our research focus and implementation will be on long-term care and health care facilities and public transportation. This research program will develop and deploy the first 5G-enabled outdoor and indoor mobility fleet system in the world to address the impending shortage of health care workers, reduce health care costs in Canada, develop an economical approach to public transportation, and position Canada as a leader in this field. It will also train students in autonomous mobility systems, which will be essential in many industries and services in Canada and around the world.