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 …

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

In recent decades, modern developed societies have experienced a significant increase in
life expectancy, resulting in a significant degree of aging in the population. This …

The paper at hand introduces a novel system for producing an enhanced semantic map that
leverages a reconstruction approach of street-view scenes using computer vision and …

As loop-closure detection plays a fundamental role in any simultaneous localization and
map** (SLAM) system, through its ability to recognize previously visited locations, one of …

Unmanned aerial vehicles (UAVs) are at the fore-front of this century's technological shift,
becoming ubiquitous in research and market areas. Similarly, nowadays, 3D printing is a …

Aiming to recognize familiar places through the camera measurements during a robot's
autonomous mission, visual loop-closure pipelines are developed for navigation …

Owing to its vast applicability, the semantic interpretation of regions or entities is increasingly
attracting the attention of scholars in the robotics community. Recent research in robot vision …

As an unmanned aerial vehicle (UAV) navigates autonomously, there are unanticipated
occasions, eg, loss of data provided by the global navigation satellite system, where its …

Drones navigating in dark, GPS-denied and confined spaces can pose a difficult challenge
due to, among other, the processing power required to maintain a high resolution map of the …