LiDAR sensor is an active remote sensing sensor that is increasingly used to capture 3D
information of real-world objects. Real-time decision-making applications such as …

Targeting the development of smart cities to facilitate the significant analysis of large-scale
urban for construction and update. This research develops a new method named transfer …

Abstract 3D Semantic segmentation is a key element for a variety of applications in robotics
and autonomous vehicles. For such applications, 3D data are usually acquired by LiDAR …

In this work, a new generalized loss function is proposed called power Jaccard to perform
semantic segmentation tasks. It is compared with classical loss functions in different …

This study proposes a generic approach which performs a series of systematic analyses by
first introducing a data volume decomposition method to generate useful data features for …

Background The 3D point cloud is the most direct and effective data form for studying plant
structure and morphology. In point cloud studies, the point cloud segmentation of individual …

Point clouds, being the simple and compact representation of surface geometry of 3D
objects, have gained increasing popularity with the evolution of deep learning networks for …

This study offers a systematic literature review on the application of Convolutional Neural
Networks in Virtual Reality, Augmented Reality, Mixed Reality, and Extended Reality …

Semantic segmentation is an active field of computer vision. It provides semantic information
for many applications. In semantic segmentation tasks, spatial information, context …

How to automatically generate a realistic large-scale 3D road network is a key point for
immersive and credible traffic simulations. Existing methods cannot automatically generate …