Grant: Idea to Innovation
Memorial University of Newfoundland
$15,000.00
Fault Detection and Mitigation for Connected Autonomous Vehicles Using Output Measurements Only Market Assessment
FY 2022-23
Summary
Through linked-cruise control, connected autonomous vehicle (CAV) networks constitute an emerging cyber-physical system with considerable potential to improve vehicle safety, reduce traffic congestion, and have a positive impact on the environment. With CAV, the number of autonomous vehicles and the distance traveled on roads will grow, and the implementation of autonomous driving would drastically reduce the number of car accidents caused by human error. The demand for car repair services, medical services, and traffic cops will all decline. Greater situational awareness, collaborative decision-making, and improved control are all possible with CAV's communication networks. The research problem of CAV has attracted considerable attention from industry, governments, and academics from different fields. These include automation, control, and communication. It is evident that as the technology and complexity of autonomous vehicles evolve, several grand challenges need to be addressed. The applicant has recently developed novel algorithms for defect identification and mitigation that simply employ accessible sensors. The goal of this market assessment application is to refine and implement the design of these algorithms, test them in linked multi-agent systems, and demonstrate their utility in the industry. The research team wants to develop a CAV platoon system and design a physical component or electronic circuit that can be produced in Canada. The proposed method is unique, and there is no other technology like it on the market right now. We plan to commercialize our created technology with the help of Memorial University's Technology Transfer and Commercialization Office (TTCO). The commercialization strategy includes seeking an NSERC I2I market assessment grant as the first stage. We expect to leverage the services from a consultant, the Kanata North Mobility Group, to conduct market research and technology validation. With an independent market assessment from a third-party organization, we can more objectively understand the pros and cons of our proposed technology for marketing and commercialization.
Program
Idea to Innovation
Recipient
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
576537-2022
Name nom
Al Janaideh, Mohammad MALJ
Department département
Engineering and Applied Science, Faculty of
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
15000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
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
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2509
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Control systems
Research subject fr
Asservissements
Installment
inst:1
Partie
1
Nb partie
1
Application title
Fault Detection and Mitigation for Connected Autonomous Vehicles Using Output Measurements Only Market Assessment
Application summary
Through linked-cruise control, connected autonomous vehicle (CAV) networks constitute an emerging cyber-physical system with considerable potential to improve vehicle safety, reduce traffic congestion, and have a positive impact on the environment. With CAV, the number of autonomous vehicles and the distance traveled on roads will grow, and the implementation of autonomous driving would drastically reduce the number of car accidents caused by human error. The demand for car repair services, medical services, and traffic cops will all decline. Greater situational awareness, collaborative decision-making, and improved control are all possible with CAV's communication networks. The research problem of CAV has attracted considerable attention from industry, governments, and academics from different fields. These include automation, control, and communication. It is evident that as the technology and complexity of autonomous vehicles evolve, several grand challenges need to be addressed. The applicant has recently developed novel algorithms for defect identification and mitigation that simply employ accessible sensors. The goal of this market assessment application is to refine and implement the design of these algorithms, test them in linked multi-agent systems, and demonstrate their utility in the industry. The research team wants to develop a CAV platoon system and design a physical component or electronic circuit that can be produced in Canada. The proposed method is unique, and there is no other technology like it on the market right now. We plan to commercialize our created technology with the help of Memorial University's Technology Transfer and Commercialization Office (TTCO). The commercialization strategy includes seeking an NSERC I2I market assessment grant as the first stage. We expect to leverage the services from a consultant, the Kanata North Mobility Group, to conduct market research and technology validation. With an independent market assessment from a third-party organization, we can more objectively understand the pros and cons of our proposed technology for marketing and commercialization.