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 …

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 letter presents a novel, compute-efficient and training-free approach based on
Histogram-of-OrientedGradients (HOG) descriptor for achieving state-of-the-art performance …

A key feature in the context of simultaneous localization and mapping is loop-closure
detection, a process determining whether the current robot's environment perception …

Recent advances in image description and matching allowed significant improvements in
Visual Place Recognition (VPR). The wide variety of methods proposed so far and the …

Simultaneous localization and mapping (SLAM) refers to a process that permits a mobile
robot to build up a map of the environment and, at the same time, to use it to compute its …

The efficiency of path-planning in robot navigation is crucial in tasks such as search-and-
rescue and disaster surveying, but this is emphasized even more when considering multi …

The development of automatic perception systems and techniques for bio-inspired flapping-
wing robots is severely hampered by the high technical complexity of these platforms and …

Visual place recognition (VPR) is the problem of recognising a previously visited location
using visual information. Many attempts to improve the performance of VPR methods have …