Thanks to AI, we are on the verge of a breakthrough. Current programs struggle with "filling in the blanks" (what does the back of that building look like? Google only has the front texture). AI generative fill (like NVIDIA’s Neural Radiance Fields, or NeRFs) can now predict what the back of a building looks like based on the front.
It utilizes Google’s massive database of 3D photogrammetry. Google has scanned thousands of cities worldwide using planes and satellites, creating a mesh of textured polygons that look startlingly real from a bird’s eye view or a low-flying angle. 3d Driving Simulator Google Earth
Set up your wheel. Boot up the software. Pick a random coordinate in Patagonia or Iceland. Turn off the HUD. And drive. Thanks to AI, we are on the verge of a breakthrough
The intersection of photorealistic 3D rendering and simulation has given birth to a niche but rapidly growing obsession: the experience. Imagine sitting in a virtual cockpit, gripping a steering wheel, and actually driving down the Las Vegas Strip, through the narrow alleys of Rome, or along the Pacific Coast Highway—using real-world, textured satellite data. AI generative fill (like NVIDIA’s Neural Radiance Fields,
Furthermore, Google's 3D data has "holes." Bridges are often flat textures on the water below them. Trees render as green spikes. Cars look like crushed soda cans. If you drive at 200 mph, the terrain will look like a blurry mess because the LOD (Level of Detail) cannot load fast enough. What will the 3D Driving Simulator Google Earth look like in five years?