Zenseact Open Dataset updated with radar data
Following the release of the Zenseact Open Dataset, Zenseact researchers are elevating the dataset by adding radar data.
Insights
Welcome to our knowledge platform, where we cover the promises, challenges, and prerequisites of developing automation, safety, AI, and software-defined vehicles.
9 results
Safety from the ground up
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.
A great sense of purpose
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.
Merging realities
Sensor fusion is crucial for safe and efficient automation. However, developing it is not exactly without challenges. Listen to Veronika and Maryam discuss merging realities.
Zenseact celebrates four accepted research papers at prestigious AI conference
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.
The challenge with autonomous driving
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 releases open dataset to advance 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.
Advancing autonomous driving
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.
Thinking fast and getting it right
A Zenseact-CERN collaboration shows great promise for technological advancements in autonomous driving.
