The University of Waterloo Student Design Team Building a Self-Driving Car
WATonomous is a student design team at the University of Waterloo at the forefront in the design, creation, and neural training of autonomous self-driving vehicles. We are proud to have finished in 2nd place for the Year 4 SAE AutoDrive Challenge, an international competition to build a fully autonomous vehicle in four years. For the 2022-2023 year, we are excited to pursue more opportunities, including several research projects, a partnership with General Motors, and competing in the Indy Autonomous Challenge as a part of the MIT/PITT+RW joint team.
The EV Bolt model with our designed competing roof rack
Environment modeling is the backbone of how autonomous agents understand the world.
We present a novel method for extending the priori relationship graph to include online observations, creating a unified environment model of both a priori and online data sources.
We present an optimal control problem
(OCP) formulation for the autonomous dynamic driving task
(DDT), and a model predictive control (MPC) solution method.
In autonomous driving applications, understanding the world around the ego vehicle is paramount for decision-making. In this project, we explore the problem of understanding the surrounding environment of an ego vehicle in a semantically meaningful way using the ROAD dataset.
The Journey So Far
Check out everything we have accomplished in five years