Deep image localization
Abstract:
An image localization system is described. A receiver receives visual inertial navigation (VIN) data and corresponding image data from devices, the VIN data indicating VIN states and corresponding poses of the devices. A training module generates a localization model based on the VIN data and corresponding image data from the plurality of devices. The image data includes images, the localization model correlating the VIN states and poses with each image among the plurality of images. An image localizer receives a query for a geographic location and a pose of a device. The query includes a picture. The image localizer compares the picture with images from the localization model, identifies an image based on the localization model, the image matching the picture in the query, and determines the geographic location and the pose of the device based on the VIN state and pose corresponding to the identified image.
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