Driving data for the data-driven
Sharing data is the path to a collision-free society. Join Mina and Veronika on Deeper learning to discuss technology’s growing need for data.
Welcome to our knowledge platform, where we cover the promises, challenges, and prerequisites of developing automation, safety, AI, and software-defined vehicles.
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Sharing data is the path to a collision-free society. Join Mina and Veronika on Deeper learning to discuss technology’s growing need for data.
Following the release of the Zenseact Open Dataset, Zenseact researchers are elevating the dataset by adding radar data.
Shorter latency, less energy consumption, less compute. Hear Veronika and Embedl CEO Hans Salomonsson discuss the secrets of developing streamlined deep-learning solutions for embedded systems.
Zenseact’s four pioneering AI research papers on car safety have been accepted to CVPR 2024, underscoring their contributions to computer vision, deep learning, and autonomous driving.
Zenseact advances AD technology by providing industry peers and researchers with impressively robust, anonymized traffic data from diverse environments with unparalleled sensor range and resolution.
Watch AI researcher Mina Alibeigi explain how her team gathered an unmatched collection of European traffic data and decided to share it with the world.
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