Grant: Applied Research and Development Grants - Level 2
Fanshawe College of Applied Arts & Technology
$65,996.00
Developing an autonomous delivery vehicle for use in on-demand food delivery
EF 2018-19
Résumé
Snabb Delivery, a London, ON based on-demand food delivery service, looks to develop an autonomous vehicle in collaboration with Fanshawe College's School of Applied Science and Technology (AST) to be used in food deliveries in the London downtown core. Building from a concurrent Ontario Centres of Excellence (OCE) Voucher for Innovation and Productivity (VIP) II project to develop a remote-operated delivery vehicle, the project team will use an integrated approach of fuzzy logic and machine learning to develop the navigation system required for fully autonomous operation of this vehicle. Given the rising cost of labour and the relatively small pool of available drivers, the creation of this fully autonomous delivery vehicle is essential to finding a cost-effective way to continue to expand delivery operations in urban areas. As such, this vehicle offers the potential for significant labour savings for Snabb, particularly if the technology can be scaled to offer the possibility of multiple autonomous vehicles supervised by a single human operator. For the faculty and students involved in the project, this represents the chance to gain firsthand experience working in the development of an autonomous vehicle, with the potential for crossover skills that could be applied to the development of commercial autonomous vehicles. For the faculty, this experience can be brought back into the curriculum and incorporated into classes to provide learning opportunities for more students, developing a future workforce with knowledge of autonomous vehicle systems. Similarly, for the students involved, this represents a chance to develop next-generation skills that will significantly increase their employability and put them in a good position to participate in what should be a fast-growing segment of the economy. Ultimately, this project will help to drive forward the development and adoption of autonomous vehicle technology in Canada and continue to establish Southern and Southwestern Ontario as hubs for these emergent technologies.
Programme
Applied Research and Development Grants - Level 2
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
536695-2018
Name nom
Douglas, Dan
Department département
Head Office
Organization id
23818
Institution établissement
Fanshawe College of Applied Arts & Technology
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
65996
Program id
CARD2
Program name en
Applied Research and Development Grants - Level 2
Program name fr
Subventions de recherche et développement appliquée - niveau 2
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
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
2600
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Robotics
Research subject fr
Robotique
Partie
1
Nb partie
1
Application title
Developing an autonomous delivery vehicle for use in on-demand food delivery
Keyword
NSERC
Application summary
Snabb Delivery, a London, ON based on-demand food delivery service, looks to develop an autonomous vehicle in collaboration with Fanshawe College's School of Applied Science and Technology (AST) to be used in food deliveries in the London downtown core. Building from a concurrent Ontario Centres of Excellence (OCE) Voucher for Innovation and Productivity (VIP) II project to develop a remote-operated delivery vehicle, the project team will use an integrated approach of fuzzy logic and machine learning to develop the navigation system required for fully autonomous operation of this vehicle. Given the rising cost of labour and the relatively small pool of available drivers, the creation of this fully autonomous delivery vehicle is essential to finding a cost-effective way to continue to expand delivery operations in urban areas. As such, this vehicle offers the potential for significant labour savings for Snabb, particularly if the technology can be scaled to offer the possibility of multiple autonomous vehicles supervised by a single human operator. For the faculty and students involved in the project, this represents the chance to gain firsthand experience working in the development of an autonomous vehicle, with the potential for crossover skills that could be applied to the development of commercial autonomous vehicles. For the faculty, this experience can be brought back into the curriculum and incorporated into classes to provide learning opportunities for more students, developing a future workforce with knowledge of autonomous vehicle systems. Similarly, for the students involved, this represents a chance to develop next-generation skills that will significantly increase their employability and put them in a good position to participate in what should be a fast-growing segment of the economy. Ultimately, this project will help to drive forward the development and adoption of autonomous vehicle technology in Canada and continue to establish Southern and Southwestern Ontario as hubs for these emergent technologies.