As a hub of entrepreneurship and innovation, it’s no surprise that companies and founders linked to the University of ...

Whether you have your mind set on an engineering program or are still not quite sure, we can help. We have a number of ways for you to reach out with your questions and learn about the benefits of ...

Join Grebel's music vocal or instrumental ensembles for credit or as an extra-curricular activity. Note: Please make sure to sign up on the Participant Forms for each ensemble, each term, so that we ...

For most academics, it’s a long road before they get to lead a major institute. In a chronological sense, not for Dr. Alex Müntz.The University of Waterloo School of Optometry and Vision Science alum ...

Autonomous Vehicles (AV) are the future of transportation and they will transform the dynamic of vehicle and pedestrian interaction. However, in the absence of a driver, it is not clear how an AV can ...

Perception is a safety-critical function of autonomous vehicles and machine learning (ML) plays a key role in its implementation. This position paper identifies (1) perceptual uncertainty as a perfor- ...

Discriminatively trained neural classifiers can be trusted only when the input data comes from the training distribution (in-distribution). Therefore, detecting out-of-distribution (OOD) samples is ...

Boolean SAT solvers are indispensable tools in a variety of domains in computer science and engineering where efficient search is required. Not only does this relieve the burden on the users of ...

Title Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them ...

In many safety-critical applications such as autonomous driving and surgical robots, it is desirable to obtain prediction uncertainties from object detection modules to help support safe ...

Reinforcement learning (RL) is an attractive way to implement high-level decision-making policies for autonomous driving, but learning directly from a real vehicle or a high-fidelity simulator is ...

We consider the problem of cross-sensor domain adaptation in the context of LiDAR-based 3D object detection and propose Stationary Object Aggregation Pseudo-labelling (SOAP) to generate high quality ...