NeRF is an advanced AI technique that builds novel 3D representations with simulated lighting conditions using typical 2D images. The true-to-life scenery in Immersive View is possible thanks to neural radiance fields (NeRF). If that person is hungry, they can virtually explore the area to locate nearby restaurants and even take a virtual peek inside. They can use immersive view within Google Maps to virtually explore the building, locate entrances, survey the weather, and find the busiest (and least busy) areas in and around the museum, including predictive information for congestion at different times of the day. When you move to an area in the distance, the 3D model determines the best panorama to show you for that location.Google offers an example use case: Suppose a user is planning a visit to the Rijksmuseum in Amsterdam. How quickly the car’s three lasers reflect off surfaces tells us how far a building or object is, and enables us to construct 3D models. We then apply special image processing algorithms to lessen ‘seams’ and create smooth transitions. To avoid gaps in the 360 photos, adjacent cameras take slightly overlapping pictures, and then we ‘stitch’ the photos together into a single 360 degree image. This helps us reconstruct the car’s exact route, and even tilt and realign images as needed. To match each image to its geographic location on the map, we combine signals from sensors on the car that measure GPS, speed and direction. We pay close attention to many factors, including the weather and the population density of various areas, to determine when and where we can collect the best possible imagery. First off we need to actually drive around and photograph the locations to show in Street View.

Google maps street view 3d