Volvo is using artificial intelligence (AI) to recreate accidents and improve its vehicle safety systems.
The initiative employs a computational technique called Gaussian splatting, which transforms real images into highly detailed 3D scenes. This allows the Swedish automaker to simulate different traffic scenarios, making the tests more effective and preventing accidents, especially those involving pedestrians.
With this approach, Volvo can generate countless variations of extreme situations to train and validate its safety models on a large scale. Data collected over the decades – since the 1970s, when teams manually analyzed collision sites – continues to be essential in improving emergency braking sensors and other systems.
The company collaborates with Zenseact, a specialist in AI, as well as Swedish universities studying the applications of this technology in automotive safety.
The initiative also strengthens Volvo’s collaboration with Nvidia, which provides a supercomputing platform to process and interpret the data used to train new features. The goal is to optimize system performance in next-generation electric vehicles, ensuring greater protection for occupants and the surrounding environment.
Source: Olhar Digital | Photo: Instagram @volvocars | This content was created with the help of AI and reviewed by the editorial team