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

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 en...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2019-09, Vol.19 (18), p.3908
Main Authors: N, Pavan Kumar B, Patil, Ashok Kumar, B, Chethana, Chai, Young Ho
Format: Article
Language:English
Subjects:
3-D graphics
Algorithms
cad model
Cameras
Construction
Engineers
Health surveillance
Industrial plants
interactions
International conferences
laser scanner
Lasers
Multimedia
Onsite
point cloud alignment
point cloud data
Registration
Retrofitting
Reverse engineering
Scanners
Sensors
Software
unmanned aerial vehicle
Unmanned aerial vehicles
Usability
Virtual environments
Virtual reality
Visualization
Water treatment
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19183908