U of T Engineering’s self-driving car team aUToronto has once again taken the top spot at a prestigious international challenge — and notched a few personal bests as well.
The AutoDrive Challenge II invites ten teams from universities across North America to compete at the Mcity Test Facility in Ann Arbor, Mich. each June.
Though this year’s competition involved several new challenges and levels of difficulty, the team maintained their track record of success. As a bonus, a paper about the custom algorithm developed by the team members was accepted into Canada’s top conference on AI-robotics innovation.
“We’re always proud of the team, but to see them improve so much from year-to-year and for their hard work to be accepted for a conference publication really shows how beneficial club work can be for students’ professional goals,” says Professor Tim Barfoot (UTIAS), one of the academic advisors to the aUToronto team.
Each year, in late August, the competition releases a new set of rules and challenges. The team then has roughly 8 months to get to work before heading to the competition. Even for a team as experienced as aUToronto, each year comes with new surprises.