Visual place recognition

Visual Place Recognition (VPR) is a content-based image retrieval task in which, given a database of images and a query image, the goal is to return the image in the database that is closest in geographic location to the query image. This task is primarily focused on real-world images of outdoor urban locations, but can be applied to indoor environments. The modern approach to the VPR task is to train machine learning algorithms that can extract features which encode the geographic information of the image. VPR is primarily used in robotics and self-driving applications for localization, mapping, and planning.

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