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.
20 results
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.
What does it take to develop self-driving car technology besides funding, technology, and talent? According to Jonas Ekmark, knowing a little about collisions doesn’t hurt.
Following the release of the Zenseact Open Dataset, Zenseact researchers are elevating the dataset by adding radar data.
Our software has been released and is now out there saving lives. It’s a real milestone, so Veronika asked Erik to come and discuss it.
The more radars, the better? But what about signal interference from other cars? Hear radar expert Mohammad from QamCom and Veronika discuss various sensing challenges.
Whether you’re in it to build a robot or define what makes it safe, doing an industrial Ph.D. is a chance to make an impact.
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.
Deep learning will make automation smarter, more predictive, and faster to develop – by combining different software tasks more effectively. Hear Veronika and Christoffer’s discussion.
Software powerhouse Zenseact, specializing in AI-based safety for autonomous driving and advanced driver assistance systems, announces the expansion of its deep-learning team.
Developing safe automation that can help drivers in virtually any situation is a pretty hard task. Jonas Ekmark will happily tell you just how hard.
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.
AD technology is manifested in robotaxis, passenger cars, and heavy goods vehicles. But they all follow distinct development pathways and face unique motivations and challenges.
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