Over the past decade most methods in visual place recognition (VPR) have used neural
networks to produce feature representations. These networks typically produce a global …

In recent years visual place recognition (VPR), ie, the problem of recognizing the location of
images, has received considerable attention from multiple research communities, spanning …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

We are surrounded by plenty of information about our environment. From these multiple
sources, numerous data could be extracted: set of images, 3D model, coloured points …

Recently, the methods based on Convolutional Neural Networks (CNNs) have gained
popularity in the field of visual place recognition (VPR). In particular, the features from the …