Volvo is revolutionizing car safety by utilizing AI to simulate crash scenarios in virtual environments. The company has amassed extensive data from thousands of real-world accidents, which is now being applied to create safer vehicles through a process called 'Gaussian splatting.' This innovative approach allows Volvo to test and refine safety features, such as the new 'lidar AS' function in the ES90, which helps avoid vulnerable road users at night.
By adopting a software-defined vehicle (SDV) architecture, Volvo can streamline its development process, enabling rapid iterations and daily testing of new software. The establishment of one of Europe's largest data centers facilitates extensive simulations, allowing the company to explore countless traffic scenarios and improve vehicle responses. This combination of AI and real-world data not only enhances safety but also accelerates the pace of innovation in the automotive industry.
• Volvo leverages AI to simulate crash scenarios for vehicle safety.
• Gaussian splatting allows testing of thousands of traffic scenarios quickly.
Gaussian splatting is a technique that generates numerous traffic scenarios from a single data point, enhancing simulation accuracy.
SDVs utilize centralized computing to manage various vehicle functions, improving efficiency and innovation speed.
NeRFs interpolate 3D objects from 2D images, allowing for realistic scene reconstruction in simulations.
Volvo focuses on safety innovations, utilizing AI to enhance vehicle safety through advanced simulations.
Zenseact, owned by Volvo, develops advanced driver assistance systems, contributing to the company's safety initiatives.
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