Autonomous vehicle (AV) developers now have a new winter-weather tool at their disposal thanks to engineering researchers.
Teams at ݮƵ Engineering and the University of Toronto collaborated on a free, open-source dataset to test and train AV perception algorithms in nasty conditions.
“We want to engage the research community to generate new ideas and enable innovations,” said Krzysztof Czarnecki, the engineering professor who leads the ݮƵ team.
Krzysztof Czarnecki leads the Autonomoose research team at ݮƵ Engineering.
Released today, the dataset is a collection of over 100 annotated video clips recorded by Autonomoose -the highly automated Lincoln MKZ hybrid that has been under development at ݮƵ for more than three years - in a variety of ݮƵ Region winter driving conditions.
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