Grant: Collaborative Research and Development Grants
University of Waterloo
$174,254.00
DBL: Driver Behaviour Learning
EF 2018-19
Résumé
The project goal is to develop machine learning technology to mimic driver behaviour under normal driving conditions in North America. Such learnt models would be applicable to improve the functionality of a variety of different features including, but not limited to Adaptive Cruise Control (ACC), Lane Change Assist, automated driving (SAE L1 to L4).*Furthermore the project goal is to develop machine learning technology that supports updating while the driver is operating the vehicle. The application is to allow deploying basic models in vehicles at the point of sales, and then later have the vehicles adapt to driving behaviour of the owner.*The project challenges are to identify base technology in machine learning suitable for the problem, then adapt it to the specific needs of the automotive industry and driving, and finally actually validating the technical feasibility, viability, and efficacy of the technology with real world data.*
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
519912-2017
Name nom
Fischmeister, Sebastian
Department département
Electrical & Computer Engineering
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
174254
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
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
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
1
Nb partie
1
Application title
DBL: Driver Behaviour Learning
Keyword
NSERC
Application summary
The project goal is to develop machine learning technology to mimic driver behaviour under normal driving conditions in North America. Such learnt models would be applicable to improve the functionality of a variety of different features including, but not limited to Adaptive Cruise Control (ACC), Lane Change Assist, automated driving (SAE L1 to L4).*Furthermore the project goal is to develop machine learning technology that supports updating while the driver is operating the vehicle. The application is to allow deploying basic models in vehicles at the point of sales, and then later have the vehicles adapt to driving behaviour of the owner.*The project challenges are to identify base technology in machine learning suitable for the problem, then adapt it to the specific needs of the automotive industry and driving, and finally actually validating the technical feasibility, viability, and efficacy of the technology with real world data.*
