Grant: Alliance Grants

This proposal aims to reconstruct complex real-world driving scenarios in simulation, thereby creating comprehensive virtual digital twins that serve as invaluable tools for enhancing the safety and reliability of autonomous vehicles. Through this collaboration, we aims to achieve the following outcomes: 1) 1.Realistic Digital Twin Generation, 2) Cutting-Edge Scenario Detection and Classification, and 3) Enhanced Road Safety and Trust. With approximately 3,000 road fatalities occurring each year in Canada, there is an urgent need to enhance driving safety. By contributing to the creation of reliable, accident-averse systems, this project plays a pivotal role in building a transportation landscape where public confidence in autonomous vehicles is not just a possibility but a reality that harmonizes perfectly with Canada's overarching goal of safer roads and enhanced mobility. After completing the project, the partner company plans to integrate the developed system into its existing infrastructure and further enhance its capabilities. This will ensure the results have a lasting impact in Canada as well as internationally.