scholarly journals On-Site 4-in-1 Alignment: Visualization and Interactive CAD Model Retrofitting Using UAV, LiDAR’s Point Cloud Data, and Video

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3908 ◽  
Author(s):  
Pavan Kumar B. N. ◽  
Ashok Kumar Patil ◽  
Chethana B. ◽  
Young Ho Chai
Keyword(s):  
Computer Aided Design ◽  
Point Cloud ◽  
Laser Scanner ◽  
Video Frame ◽  
Cad Model ◽  
Point Cloud Data ◽  
Registration Method ◽  
Industrial Facilities ◽  
Cloud Data ◽  
Generic Framework

Acquisition of 3D point cloud data (PCD) using a laser scanner and aligning it with a video frame is a new approach that is efficient for retrofitting comprehensive objects in heavy pipeline industrial facilities. This work contributes a generic framework for interactive retrofitting in a virtual environment and an unmanned aerial vehicle (UAV)-based sensory setup design to acquire PCD. The framework adopts a 4-in-1 alignment using a point cloud registration algorithm for a pre-processed PCD alignment with the partial PCD, and frame-by-frame registration method for video alignment. This work also proposes a virtual interactive retrofitting framework that uses pre-defined 3D computer-aided design models (CAD) with a customized graphical user interface (GUI) and visualization of a 4-in-1 aligned video scene from a UAV camera in a desktop environment. Trials were carried out using the proposed framework in a real environment at a water treatment facility. A qualitative and quantitative study was conducted to evaluate the performance of the proposed generic framework from participants by adopting the appropriate questionnaire and retrofitting task-oriented experiment. Overall, it was found that the proposed framework could be a solution for interactive 3D CAD model retrofitting on a combination of UAV sensory setup-acquired PCD and real-time video from the camera in heavy industrial facilities.

scholarly journals Hybrid approach for alignment of a pre-processed three-dimensional point cloud, video, and CAD model using partial point cloud in retrofitting applications

2018 ◽  
Vol 14 (3) ◽  
pp. 155014771876645 ◽  
Author(s):  
Ashok Kumar Patil ◽  
G Ajay Kumar ◽  
Tae-Hyoung Kim ◽  
Young Ho Chai
Keyword(s):  
Computer Aided Design ◽  
Point Cloud ◽  
Hybrid Approach ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Video Scene ◽  
Engineering Models ◽  
Aided Design

Acquiring the three-dimensional point cloud data of a scene using a laser scanner and the alignment of the point cloud data within a real-time video environment view of a camera is a very new concept and is an efficient method for constructing, monitoring, and retrofitting complex engineering models in heavy industrial plants. This article presents a novel prototype framework for virtual retrofitting applications. The workflow includes an efficient 4-in-1 alignment, beginning with the coordination of pre-processed three-dimensional point cloud data using a partial point cloud from LiDAR and alignment of the pre-processed point cloud within the video scene using a frame-by-frame registering method. Finally, the proposed approach can be utilized in pre-retrofitting applications by pre-generated three-dimensional computer-aided design models virtually retrofitted with the help of a synchronized point cloud, and a video scene is efficiently visualized using a wearable virtual reality device. The prototype method is demonstrated in a real-world setting, using the partial point cloud from LiDAR, pre-processed point cloud data, and video from a two-dimensional camera.

scholarly journals RESEARCH ON THE DIGITAL RETENTION MECHANISM OF TIBETAN BUDDHISM ARCHITECTURE BASED ON UAV AND TLS: A CASE STUDY OF BAOGUANG HALL

2021 ◽  
Vol VIII-M-1-2021 ◽  
pp. 95-100
Author(s):  
Z. Li ◽  
M. Hou ◽  
Y. Dong ◽  
J. Wang ◽  
Y. Ji ◽  
...  
Keyword(s):  
Point Cloud ◽  
Cloud Model ◽  
Laser Scanner ◽  
Retention Mechanism ◽  
Point Cloud Data ◽  
Architectural Heritage ◽  
Registration Method ◽  
Cloud Data ◽  
3D Information ◽  
Unique Style

Abstract. Tibetan Buddhist architecture embodies ancient Chinese architectural culture and religious culture. In the past, the information retention mechanisms for ancient buildings were implemented as photos, tracings, and rubbings, which cannot fundamentally document the authenticity of architectural heritage. To explore the digital retention method for the unique style of Han Tibetan architecture，this research that based on the idea of reverse documentation first collects point cloud data with the technical support of unmanned aerial vehicle (UAV) photogrammetry and terrestrial laser scanner (TLS) and then uses registration method to obtain the integral of the point cloud model of Baoguang Hall. This paper explores the possibility of extracting 2D and 3D information, such as architectural plans, facades, decorative components, and models of the temple architecture, by processing point cloud data. Finally, this study proves the feasibility of using digital technology for the preservation and protection of architectural heritage.

scholarly journals A robust approach to identify roof bolts in 3D point cloud data captured from a mobile laser scanner

2021 ◽  
Vol 31 (2) ◽  
pp. 303-312 ◽  
Author(s):  
Sarvesh Kumar Singh ◽  
Simit Raval ◽  
Bikram Banerjee
Keyword(s):  
Point Cloud ◽  
Laser Scanner ◽  
3D Point Cloud ◽  
Point Cloud Data ◽  
Robust Approach ◽  
Cloud Data ◽  
Roof Bolts

3D Model Registration Based on Feature Extraction

2011 ◽  
Vol 299-300 ◽  
pp. 1091-1094 ◽  
Author(s):  
Jiang Zhu ◽  
Yuichi Takekuma ◽  
Tomohisa Tanaka ◽  
Yoshio Saito
Keyword(s):  
Feature Extraction ◽  
Point Cloud ◽  
3D Model ◽  
Point Cloud Data ◽  
Coordinate Systems ◽  
High Precision Measurement ◽  
Registration Method ◽  
Cloud Data ◽  
Cad System ◽  
Complicated Model

Currently, design and processing of complicated model are enabled by the progress of the CAD/CAM system. In shape measurement, high precision measurement is performed using CMM. In order to evaluate the machined part, the designed model made by CAD system the point cloud data provided by the measurement system are analyzed and compared. Usually, the designed CAD model and measured point cloud data are made in the different coordinate systems, it is necessary to register those models in the same coordinate system for evaluation. In this research, a 3D model registration method based on feature extraction and iterative closest point (ICP) algorithm is proposed. It could efficiently and accurately register two models in different coordinate systems, and effectively avoid the problem of localized solution.

Research on Stereo Image Acquisition Technology of 3D Printing

2014 ◽  
Vol 644-650 ◽  
pp. 2656-2660
Author(s):  
Yao Cheng ◽  
Guang Xue Chen ◽  
Chen Chen ◽  
Jiang Ping Yuan
Keyword(s):  
3D Printing ◽  
Point Cloud ◽  
Image Acquisition ◽  
Laser Scanner ◽  
Stereo Image ◽  
Object Model ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Engineering Software ◽  
Hand Model

In the process of 3D printing, stereo image acquisition is the basis and premise of 3D modeling so that it’s important to study the acquisition methods and techniques. This paper will study the process of point cloud data acquisition of a hand model by using handheld laser scanner REVscan, and processed by the reverse engineering software Geomagic Studio. Using the object model captured, we can greatly improve the efficiency and accuracy, as well as reduce the cycle of the 3D printing. This will help achieve the transmission of 3D printing data without geographical restrictions, in which truly realize the concept "What You See Is What You Get".

Hydrographical survey using point cloud data from laser scanner and echo sounder

2016 ◽  
Author(s):  
Pradya Prempraneerach ◽  
Manusak Janthong ◽  
Kraisak Phothongkum ◽  
Channarong Choosui ◽  
Surasak Timpitak
Keyword(s):  
Point Cloud ◽  
Laser Scanner ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Echo Sounder

Design of Light-Small Mobile 3D Laser Measurement System

2013 ◽  
Vol 405-408 ◽  
pp. 3032-3036
Author(s):  
Yi Bo Sun ◽  
Xin Qi Zheng ◽  
Zong Ren Jia ◽  
Gang Ai
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Digital Camera ◽  
Scanning System ◽  
Point Cloud Data ◽  
3D Laser Scanning ◽  
Large Area ◽  
Cloud Data ◽  
Laser Scanning System

At present, most of the commercial 3D laser scanning measurement systems do work for a large area and a big scene, but few shows their advantage in the small area or small scene. In order to solve this shortage, we design a light-small mobile 3D laser scanning system, which integrates GPS, INS, laser scanner and digital camera and other sensors, to generate the Point Cloud data of the target through data filtering and fusion. This system can be mounted on airborne or terrestrial small mobile platform and enables to achieve the goal of getting Point Cloud data rapidly and reconstructing the real 3D model. Compared to the existing mobile 3D laser scanning system, the system we designed has high precision but lower cost, smaller hardware and more flexible.

scholarly journals An Assessment of Pre- and Post Fire Near Surface Fuel Hazard in an Australian Dry Sclerophyll Forest Using Point Cloud Data Captured Using a Terrestrial Laser Scanner

2016 ◽  
Vol 8 (8) ◽  
pp. 679 ◽  
Author(s):  
Luke Wallace ◽  
Vaibhav Gupta ◽  
Karin Reinke ◽  
Simon Jones
Keyword(s):  
Point Cloud ◽  
Laser Scanner ◽  
Terrestrial Laser Scanner ◽  
Point Cloud Data ◽  
Near Surface ◽  
Cloud Data ◽  
Sclerophyll Forest
Sign in / Sign up

Export Citation Format

Share Document