Deep Learning for self-driving cars

Text framtagen i samarbete med Zenseact

Deep learning is a crucial component of self-driving car technology. It enables vehicles to understand and navigate the complex world around them. Through deep neural networks, autonomous vehicles can recognize objects, detect obstacles, and interpret traffic patterns in real time. These networks learn from large amounts of data collected from sensors, cameras, and other sources to improve their accuracy over time. The more data they analyze, the more capable they become of making accurate decisions and reacting to unexpected situations on the road. Overall, deep learning plays a critical role in advancing the safety and reliability of self-driving cars, helping to pave the way for a future where autonomous vehicles can revolutionize transportation as we know it.

Zenseact is an AI software company committed to transforming automotive safety. Our researchers and engineers are constantly evaluating new tools, technologies, and methods to identify new opportunities and improvements. By designing the complete software stack for autonomous driving and advanced driver assistance, from sensing to actuation, our mission is to end car accidents and make roads safe for everyone. We’re owned by Volvo Cars and home to more than 500 developers and engineers. Our teams are based in Gothenburg, Sweden, and Shanghai, China. Our first software deployment will be launched in the Volvo EX90 and Polestar 3.

Christoffer Petersson is Adjunct Associate Professor in Machine Learning at Chalmers. He did his Ph.D. in Theoretical Physics at Chalmers, and after research positions in Physics at CERN, in Madrid and Brussels, he returned to Chalmers. In 2017, he switched gears and joined Zenuity (from which Zenseact originates) and has since then worked on deep learning and computer vision in both product development and research. 

As a researcher, Christoffer leads and supervises deep learning-related activities at Zenseact. On the product side, he works towards expanding the use of deep learning both in the Zenseact software stack and automating the training data generation.

The GAIA conference about AI and all things data is one of the highlights of the year, and Zenseact will be there! Christoffer Petersson, AI research lead at Zenseact, will host one of the tech talks and discuss how we use deep learning in our development of autonomous driving technology. Zenseact’s mission is to develop a world-leading autonomous driving software platform for consumer vehicles, with the primary goal of dramatically reducing the number of traffic fatalities and injuries around the world. 

Christoffer will outline our plan to expand the use of learning-based algorithms and describe some of the critical challenges that come with it. He will also review some recent and ongoing deep learning-related research activities at Zenseact. If you’re interested in artificial intelligence and real-world data science, join us at Svenska Mässan on 5 April!

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