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 …

Agriculture 5.0 refers to the next phase of agricultural development, building upon the
previous digital revolution in the agrarian sector and aiming to transform the agricultural …

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 …

Flood disasters inflict extensive, serious damage on cities and society, significantly
constraining urban construction and development. There is an urgent demand to reduce …

The occurring growth in e-commerce comes along with an increasing number of first-time
delivery failures due to the customer's absence at the delivery location. Failed deliveries …

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

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 …

The explosion of logistics is consolidating a positive impact on modern society by offering a
critical contribution to its economic development. Traditional inventory methods tend to be …

Over the previous two decades, a tremendous impact has been created on each stage of the
production value chain, through digitization of the traditional industrial processes and …

The exploitation of deep neural networks (DNNs) as descriptors in feature learning
challenges enjoys apparent popularity over the past few years. The above tendency focuses …