The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …

In recent years, 3D point cloud has gained increasing attention as a new representation for
objects. However, the raw point cloud is often noisy and contains outliers. Therefore, it is …

In recent years, deep learning techniques for processing 3D point cloud data have seen
significant advancements, given their unique ability to extract relevant features and handle …

Laser techniques are widely used to perform topographic building surveys by providing
massive information and point clouds comprised of millions of points in seconds. Point …

Convolutional Neural Networks (CNNs) have emerged as a powerful tool for object
detection in 2D images. However, their power has not been fully realised for detecting 3D …

The connection between precast concrete (PC) components is vital during the construction
of prefabricated structures. However, PC components are generally inspected and …

Terrestrial laser scanning (TLS) is a non-destructive testing method for the technical
assessment of existing structures. TLS has been successfully harnessed for monitoring …

The use and research of Unmanned Aerial Vehicle (UAV) have been increasing over the
years due to the applicability in several operations such as search and rescue, delivery …

Point clouds obtained by 3D scanning or reconstruction are usually accompanied by noise.
Filtering-based point cloud denoising methods are simple and effective, but they are limited …

In recent years, 3D object perception has become a crucial component in the development
of autonomous driving systems, providing essential environmental awareness. However, as …