Abstract Visual Place Recognition (VPR) is a crucial part of mobile robotics and autonomous
driving as well as other computer vision tasks. It refers to the process of identifying a place …

Visual place recognition has attracted widespread research interest in multiple fields such
as computer vision and robotics. Recently, researchers have employed advanced deep …

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 …

This paper aims to investigate representation learning for large scale visual place
recognition, which consists of determining the location depicted in a query image by …

Planet-scale image geolocalization remains a challenging problem due to the diversity of
images originating from anywhere in the world. Although approaches based on vision …

In this paper, we propose a new open-source benchmarking framework for Visual Geo-
localization (VG) that allows to build, train, and test a wide range of commonly used …

Visual Localization is one of the key enabling technologies for autonomous driving and
augmented reality. High quality datasets with accurate 6 Degree-of-Freedom (DoF) …

Human drivers are capable of recognizing places from a previous journey even when
viewing them from the opposite direction during the return trip under radically different …

Determining the location of an image anywhere on Earth is a complex visual task which
makes it particularly relevant for evaluating computer vision algorithms. Determining the …