Indoor localization is essential for healthcare, security, augmented reality gaming, and many
other location-based services. There is currently a wealth of relevant literature on indoor …

Real-time, accurate, and robust localisation is critical for autonomous vehicles (AVs) to
achieve safe, efficient driving, whilst real-time performance is essential for AVs to achieve …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Navigation/positioning systems have become critical to many applications, such as
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …

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 …

Abstract Neural Radiance Fields (NeRF) have recently demonstrated photorealistic results
for the task of novel view synthesis. In this paper, we propose to apply novel view synthesis …

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 …

The benefits of a digital twin city have been assessed based on real-time data collected from
preinstalled Internet of Things (IoT) sensors (eg, traffic, energy use, air pollution, water …

Visual localization, ie, camera pose estimation in a known scene, is a core component of
technologies such as autonomous driving and augmented reality. State-of-the-art …