Deep learning is a sub-field of artificial intelligence that combines feature engineering and
classification in one method. It is a data-driven technique that optimises a predictive model …

Autonomous exploration of subterranean environments remains a major challenge for
robotic systems. In response, this paper contributes a novel graph‐based subterranean …

Autonomous exploration of subterranean environments constitutes a major frontier for
robotic systems as underground settings present key challenges that can render robot …

INTRODUCTION: Sorting a huge stream of waste accurately within a short period can be
done with the support of digitalization, particularly Artificial Intelligence, instead of traditional …

Aerial field robotics research represents the domain of study that aims to equip unmanned
aerial vehicles-and as it pertains to this chapter, specifically Micro Aerial Vehicles (MAVs) …

Determining whether an autonomous self‐driving agent is in the middle of an intersection
can be extremely difficult when relying on visual input taken from a single camera. In such a …

The trend of automation in industry, and in the society in general, is something that probably
all of us have noticed. The mining industry is no exception to this trend, and there exists a …

Intersection classification is one of the key components of autonomous navigation. Several
related research works have been conducted as a prior task to solve problems such as …

Identifying road junctions is of great importance for a number of applications that utilize
electronic maps, like navigation systems. State of the art research on this area utilizes aerial …

Extensive research has been carried out on intersection classification to assist the
navigation in autonomous maneuvering of aerial, road, and cave mining vehicles. In …