Fujitsu and Carnegie Mellon University develop AI-powered social digital twin technology with traffic data from Pittsburgh

Fujitsu Limited and Carnegie Mellon University today announced the development of a new technology to visualize traffic situations, including people and vehicles, as part of joint research on Social Digital Twin that began in 2022. The technology transforms a 2D scene image captured by a monocular RGB camera into a digitalized 3D format using AI, which estimates the 3D shape and position of people and objects enabling high-precision visualization of dynamic 3D scenes. Starting February 22, 2024, Fujitsu and Carnegie Mellon University will conduct field trials leveraging data from intersections in Pittsburgh, USA, to verify the applicability of this technology.

This technology relies on AI that has been trained to detect the shape of people and objects through deep learning. This system is composed of two core technologies: 1) 3D Occupancy Estimation Technology that estimates the 3D occupancy of each object only from a monocular RGB camera, and 2) 3D Projection Technology that accurately locates each object within 3D scene models.

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