Visual Place Recognition (VPR) is vital for robot localization. To date, the most performant
VPR approaches are environment-and task-specific: while they exhibit strong performance …

Simultaneous localization and map** (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …

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 …

Robust efficient loop closure detection is essential for large-scale real-time SLAM. In this
paper, we propose a novel unsupervised deep neural network architecture of a feature …

The concept of geo-localization refers to the process of determining where on earth
someentity'is located, typically using Global Positioning System (GPS) coordinates. The …

Coral reef habitat structural complexity influences key ecological processes, ecosystem
biodiversity, and resilience. Measuring structural complexity underwater is not trivial and …

We propose a vision-based method that localizes a ground vehicle using publicly available
satellite imagery as the only prior knowledge of the environment. Our approach takes as …

In recent years there has been significant improvement in the capability of Visual Place
Recognition (VPR) methods, building on the success of both hand-crafted and learnt visual …

Reliable and efficient visual place recognition is a major building block of modern SLAM
systems. Leveraging on our prior work, in this letter, we present a Hamming distance …

Visual place recognition is a fundamental capability for the localization of mobile robots. It
places image retrieval in the practical context of physical agents operating in a physical …