Meet Google's colorful Street View fleet and learn how we collect 360 imagery to power the world map. Sources of photography Google-owned content credits “Street View” or “Google Maps.” We automatically blur faces and license plates in our imagery. Content from contributors User-contributed content accompanies a clickable/tappable account name, and in some cases, a profile photo. Where we are mapping this month We drive and trek around the world to bring you imagery that enhances your experience and helps you discover the world around you. If you want to wave at our team, check out below when they'll be coming to a location near you. ../../streetview/static/feed/driving/data.json Because of factors outside our control (weather, road closures, etc), it is always possible that our cars may not be operating, or that slight changes may occur. Please also be aware that where the list specifies a particular city, this may include smaller cities and towns that are within driving distance. A fleet prepared to uncover the world's wonders We've visited incredible places on all seven continents and there is more to come. Before we hit the road, we consider many factors including the terrain, climate conditions, and population density to deploy just the right fleet and collect the best imagery. Street View car Bringing maps to life Collecting imagery First off we need to actually drive around and photograph the locations to show in Street View. 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. Aligning imagery 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. This helps us reconstruct the car’s exact route, and even tilt and realign images as needed. Turning photos into 360 photos

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. We then apply special image processing algorithms to lessen ‘seams’ and create smooth transitions. Showing you the right image How quickly the car's lasers reflect off surfaces tells us how far a building or an object is, and helps us build a 3D model of the world. When you move to an area in the distance in Street View, this model determines the best panorama to show you for that location. Powering new AI experiences The processed Street View data is also used as training and input data for Google's most advanced generative AI models, like Gemini, Nano Banana, and Veo. This helps generate new, synthetic images for a wide range of consumer and commercial uses that benefit from a deep understanding of the world. Before these generative uses, we apply our industry-leading privacy protections , including blurring and AI removal of people and vehicles in the imagery, to ensure that our AI development aligns with Google’s responsible AI development principles . Collecting imagery First off we need to actually drive around and photograph the locations to show in Street View. 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. Aligning imagery 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. This helps us reconstruct the car’s exact route, and even tilt and realign images as needed. Turning photos into 360 photos 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. We then apply special image processing algorithms to lessen ‘seams’ and create smooth transitions. Showing you the right image How quickly the car's lasers reflect off surfaces tells us how far a building or an object is, and helps us build a 3D model of the world. When you move to an area in the distance in Street View, this model determines the best panorama to show you for that location. Powering new AI experiences The processed Street View data is also used as training and input data for Google's most advanced generative AI models, like Gemini, Nano Banana, and Veo. This helps generate new, synthetic images for a wide range of consumer and commercial uses that benefit from a deep understanding of the world. Before these generative uses, we apply our industry-leading privacy protections , including blurring and AI removal of people and vehicles in the imagery, to ensure that our AI development aligns with Google’s responsible AI development principles . Where we’ve been The blue areas on the map show where Street View is available. Zoom in for greater detail, or browse on Google Maps. Are you ready to capture your own Street View imagery?