WISE Lab led by prof. Czarnecki and TRAIL Lab led by prof. Waslander have released the Canadian Adverse Driving Conditions Dataset. The dataset is accompanied by a paper with the same title by Matthew Pitropov, Danson Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Waslander.
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The release has attracted some media attention, including the WIRED Magazine article "Snow and Ice Pose a Vexing Obstacle for Self-Driving Cars" and CTV's video segment about the dataset release "Team working to train self-driving cars for winter driving". CBC published an article and audio interview "How Waterloo researchers are giving self-driving cars 'Canadian vision'". Global News also had a video segment and interview "Can self-driving cars handle Canadian winters?".
Scale.AI, a company whose technology was leveraged in creating the dataset, published a blog article "Open Sourcing the World's First AV Dataset for Wintry Environments".
Additionally, University of Waterloo Engineering published a story "Teaching self-driving cars how to handle the worst of winter" and University of Toronto Engineering published an article "Can self-driving cars handle a Canadian winter? We’re about to find out".