With the significant increase in demand for artificial intelligence, environmental map
reconstruction has become a research hotspot for obstacle avoidance navigation …

Abstract Visual Place Recognition (VPR) estimates the location of query images by matching
them with images in a reference database. Conventional methods generally adopt …

Visual Geo-localization (VG) is the task of estimating the position where a given photo was
taken by comparing it with a large database of images of known locations. To investigate …

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 …

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

Deep learning has shown to be effective for robust and real-time monocular image
relocalisation. In particular, PoseNet is a deep convolutional neural network which learns to …

Simultaneous localization and mapping (SLAM) is a fundamental capability required by
most autonomous systems. In this paper, we address the problem of loop closing for SLAM …

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 …

Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

Abstract Visual Place Recognition is a task that aims to predict the place of an image (called
query) based solely on its visual features. This is typically done through image retrieval …