Scanning technologies to building information modelling: A review

R Rashdi, J Martínez-Sánchez, P Arias, Z Qiu - Infrastructures, 2022 - mdpi.com
Building information modelling (BIM) is evolving significantly in the architecture, engineering
and construction industries. BIM involves various remote-sensing tools, procedures and …

Progressive dilution of point clouds considering the local relief for creation and storage of digital twins of cultural heritage

M Štroner, T Křemen, R Urban - Applied Sciences, 2022 - mdpi.com
Currently, the creation of digital copies (digital twins) of various objects by remote sensing
methods producing point clouds is becoming commonplace. This might be particularly …

Optimal Pre-processing of Laser Scanning Data for Indoor Scene Analysis and 3D Reconstruction of Building Models

M Kim, H Kim - KSCE Journal of Civil Engineering, 2024 - Springer
The large-scale point cloud data representing buildings should be prudently pre-processed
and down-sampled prior to post-data processing activities, such as data segmentation or …

High-precision positioning in GNSS-challenged environments: a LiDAR-based multi-sensor fusion approach with 3D digital maps registration

E Mounier, M Elhabiby, M Korenberg, A Noureldin - Authorea Preprints, 2023 - techrxiv.org
This paper presents a multi-sensor positioning and navigation system that leverages cost-
effective commercial-grade sensors for GNSS-challenging urban and indoor environments …

A framework for generic spatial search in 3d point clouds

J Otepka, G Mandlburger, W Karel… - ISPRS Annals of …, 2021 - isprs-annals.copernicus.org
Modern data acquisition with active or passive photogrammetric imaging techniques
generally results in 3D point clouds. Depending on the acquisition or processing method …

Optimization of Land Area Mapping and Volume Calculations using Drone Lidar Livox Mid-40 Data with the Downsampling Method

AS Manggala, E Ahyudanari, MN Cahyadi… - BIO Web of …, 2024 - bio-conferences.org
One reason for the growing acceptance of 3D point cloud-based research and applications
is the quick advancement of 3D scanning technologies. However, there are still a number of …

Optimal LiDAR Data Resolution Analysis for Object Classification

M Darrah, M Richardson, B DeRoos, M Wathen - Sensors, 2022 - mdpi.com
When classifying objects in 3D LiDAR data, it is important to use efficient collection methods
and processing algorithms. This paper considers the resolution needed to classify 3D …

Synchronization of Measurement Data with the Reference System

B Nalepa, A Gwiazda - IOP Conference Series: Materials Science …, 2021 - iopscience.iop.org
Today, most devices are equipped with sensors that enable the collection of process data
that influences the control parameters. Sensors are to replace human senses and provide …

[PDF][PDF] Яків Повод

В Шерстюк - scholar.archive.org
Значна кількість методів машинного навчання мають обмеження на об'єм даних з якими
вони можуть працювати. Зазвичай ці обмеження проявляють себе як надмірне …

[PDF][PDF] ДОСЛІДЖЕННЯ МЕТОДІВ ЗМЕНШЕННЯ НАВЧАЛЬНОЇ ВИБІРКИ ДАНИХ

Я Повод, В Шерстюк - Проблеми інформаційних технологій, 2020 - journals.kntu.net.ua
ДОСЛІДЖЕННЯ МЕТОДІВ ЗМЕНШЕННЯ НАВЧАЛЬНОЇ ВИБІРКИ ДАНИХ Page 1 98
ПРОБЛЕМИ ІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ ДОСЛІДЖЕННЯ МЕТОДІВ ЗМЕНШЕННЯ …