Whether it’s flooding in Toronto or forest fires raging in Alberta and Manitoba, climate change is pushing natural disasters into populated areas and having a dire impact on communities. The threat to ...

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

Prof. Vanessa de Oliveira Andreotti, Dean of the Faculty of Education at the University of Victoria, is a distinguished educator, researcher, and author who recently has delved into the concept 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- ...

Rapid advances in every sphere of autonomous driving technology have intensified the need to be able to benchmark and compare different approaches. While many benchmarking tools tailored to different ...

Recent work in semantic segmentation research for autonomous vehicles has shifted towards multimodal techniques. The driving factor behind this is a lack of reliable and ample ground truth annotation ...

There exists wide research surrounding the detection of out of distribution sample for image classification. Safety critical applications, such as autonomous driving, would benefit from the ability to ...

Continual learning is often confounded by \“catastrophic forgetting\” that prevents neural networks from learning tasks sequentially. In the case of real world classification systems that are ...

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 ...