Teaching self-driving cars how to handle the worst of winter

Monday, February 24, 2020

Researchers have created a new testing and training tool to inspire solutions to the particularly complex challenges of developing autonomous vehicles (AVs) capable of handling winter weather. 

Released today, the free, open-source dataset - dubbed the Canadian Adverse Driving Conditions Dataset (CADC) - is a collaboration of research teams at Waterloo Engineering and the University of Toronto that are working to advance AV perception algorithms. Read the full story.

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