Grants and Contributions:
Title:
Development of an AI based driver intentionality and action predictor tool to improve safety in urban last mile delivery operation
Agreement Number:
972493
Agreement Value:
$93,390.00
Agreement Date:
May 10, 2021 - Mar 31, 2024
Description:
This research Project aims to build an AI-based driver intentionality predictor that will augment and enhance typical advanced driver assistance systems (ADAS) to improve safety for last mile delivery operation. Since driver gaze directly correlates with driver intentionality and precedes driving action, this project will utilize a driver gaze monitoring system to develop an AI-based tool to predict driver intentionality and action. This will significantly improve the safety associated with last mile delivery in urban environments by broadening the time horizon of ADAS systems. This Project intends to employ real-time driver gaze data to predict driver intentionality and action in order to quantify driver alertness and evaluate the safety of the operation in real-time. This data will be used to evaluate and compare different machine learning methods to develop models of driver attentiveness and alertness by predicting and assessing driver maneuvers. In the long term, having models that predict driver intentionality and actions can provide additional information to an ADAS that can be used to alert the driver or take action to ensure the safety of the vehicle and driver or avoid likely accident scenarios.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
London, Ontario, CA N6A 3K7
Reference Number:
172-2021-2022-Q1-972493
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
108162587
Recipient Type:
Academia
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 365 days
Amendment Date
Jun 14, 2022
Recipient's Legal Name:
The University of Western Ontario
Federal Riding Name:
London North Centre
Federal Riding Number:
35052
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences
Amendments: