Researchers at driverless car company Waymo and Google Research used self-driving vehicles to create a virtual model of San Francisco from photos processed by Block-NeRF software.
The software is based on Neural Radiance Fields (NeRFs), a tool that builds three-dimensional (3D) models of small objects from a collection of stills that are viewable from all angles, even those that have no existing photos.
The method uses artificial intelligence trained to generate accurate 3D models from large image sets, which includes data on the exact location from which each image was captured.
Block-NeRF weaves together models of city blocks photographed by the driverless cars to keep the size of the overall model sufficiently small to run on modest hardware.
From New Scientist
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