A review of point clouds segmentation and classification algorithms

E Grilli, F Menna, F Remondino - … Archives of the …, 2017 - isprs-archives.copernicus.org
Today 3D models and point clouds are very popular being currently used in several fields,
shared through the internet and even accessed on mobile phones. Despite their broad …

Toward building and civil infrastructure reconstruction from point clouds: A review on data and key techniques

Y Xu, U Stilla - IEEE journal of selected topics in applied earth …, 2021 - ieeexplore.ieee.org
Nowadays, point clouds acquired through laser scanning and stereo matching have
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …

Computational methods of acquisition and processing of 3D point cloud data for construction applications

Q Wang, Y Tan, Z Mei - Archives of computational methods in engineering, 2020 - Springer
Abstract 3D point cloud data from sensing technologies such as 3D laser scanning and
photogrammetry are able to capture the 3D surface geometries of target objects in an …

Review of image-based 3D reconstruction of building for automated construction progress monitoring

J Xue, X Hou, Y Zeng - Applied Sciences, 2021 - mdpi.com
With the spread of camera-equipped devices, massive images and videos are recorded on
construction sites daily, and the ever-increasing volume of digital images has inspired …

Three-dimensional reconstruction of structural surface model of heritage bridges using UAV-based photogrammetric point clouds

Y Pan, Y Dong, D Wang, A Chen, Z Ye - Remote Sensing, 2019 - mdpi.com
Three-dimensional (3D) digital technology is essential to the maintenance and monitoring of
cultural heritage sites. In the field of bridge engineering, 3D models generated from point …

A network-level sidewalk inventory method using mobile LiDAR and deep learning

Q Hou, C Ai - Transportation research part C: emerging technologies, 2020 - Elsevier
Sidewalks are a critical infrastructure to facilitate essential daily trips for pedestrian and
wheelchair users. The dependence on the infrastructure and the increasing demand from …

[PDF][PDF] 基于三维激光雷达的道路障碍物目标位姿检测算法

胡杰, 刘汉, 徐文才, 赵亮 - Chinese Journal of Lasers, 2021 - researching.cn
摘要提出一种基于随机采样一致(RANSAC) 的道路障碍物目标位姿检测算法,
利用这一算法对道路障碍物目标进行检测, 构建目标障碍物的盒模型, 输出盒模型的位姿信息 …

Extraction of indoor objects based on the exponential function density clustering model

X Chen, H Wu, D Lichti, X Han, Y Ban, P Li, H Deng - Information Sciences, 2022 - Elsevier
Indoor point cloud includes wall, ceiling, floor and many other indoor objects. Extraction of
wall, ceiling, floor and many objects in the room is the key for many applications including …

Fast 3D line segment detection from unorganized point cloud

X Lu, Y Liu, K Li - arXiv preprint arXiv:1901.02532, 2019 - arxiv.org
This paper presents a very simple but efficient algorithm for 3D line segment detection from
large scale unorganized point cloud. Unlike traditional methods which usually extract 3D …

Iterative closest point for accurate plane detection in unorganized point clouds

C Fotsing, N Menadjou, C Bobda - Automation in Construction, 2021 - Elsevier
Plane detection is an important step in the reconstruction of 3D models of buildings from
point clouds. The results of plane detection methods based on the region growing approach …