This study assesses the use of terrestrial laser scanning (TLS) based automatic point cloud
registration to determine the displacement field caused by underground mining. The …

In this study, we address an exploration problem when constructing complete 3D models in
an unknown environment using a Micro-Aerial Vehicle. Most previous exploration methods …

In this study, we addressed a path planning problem of a mobile robot to construct highly
accurate 3D models of an unknown environment. Most studies have focused on exploration …

Point cloud registration is an important and fundamental building block of mobile robotics. It
forms an integral part of the processes of mapping, localization, object detection and …

Optimal coverage path planning (CPP) is the process of determining a path that passes over
all points of an area of interest in a systematic way while avoiding obstacles in a manner that …

Steel studs, heating, ventilation, and air conditioning (HVAC) systems, rebar, and many
other building components produce spatially varying magnetic fields. Magnetometers can …

In this letter, we tackle the problem of planning an optimal coverage path for a robot
operating indoors. Many existing approaches attempt to discourage turns in the path by …

In mobile robotics measuring displacement with high level of certainty is very critical to
successful localization and mapping. However, sensors such as the depth cameras and …

With the acceleration in three-dimensional (3D) high-frame-rate sensing technologies,
dense point clouds collected from multiple standpoints pose a great challenge for the …

We propose a simple yet effective structure-guided statistical textural distinctiveness
approach to salient region detection. Our method uses a multilayer approach to analyze the …