Localization is an essential capability for mobile robots. A rapidly growing field of research in
this area is Visual Place Recognition (VPR), which is the ability to recognize previously seen …

Abstract Visual Place Recognition is a challenging task for robotics and autonomous
systems, which must deal with the twin problems of appearance and viewpoint change in an …

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

Abstract Visual Place Recognition (VPR) is often characterized as being able to recognize
the same place despite significant changes in appearance and viewpoint. VPR is a key …

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 Place Recognition (VPR) is the task of matching current visual imagery from a camera
to images stored in a reference map of the environment. While initial VPR systems used …

Autonomous Vehicles (AV) are becoming more capable of navigating in complex
environments with dynamic and changing conditions. A key component that enables these …

Place Recognition enables the estimation of a globally consistent map and trajectory by
providing non-local constraints in Simultaneous Localisation and Mapping (SLAM). This …

In this paper, we look into the problem of estimating per-pixel depth maps from
unconstrained RGB monocular night-time images which is a difficult task that has not been …

In robotics, visual place recognition (VPR) is a continuous process that receives as input a
video stream to produce a hypothesis of the robot's current position within a map of known …