Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

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

Pavan Kumar B N1, Ashok Kumar Patil2, Chethana B3

  • 1Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Seoul 06974, Korea. pavanbn8@gmail.com.

Sensors (Basel, Switzerland)
|September 13, 2019
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Building the Future of Transportation: A Comprehensive Survey on AV Perception, Localization, and Mapping.

Sensors (Basel, Switzerland)·2025
Same author

Object Detection and Classification Framework for Analysis of Video Data Acquired from Indian Roads.

Sensors (Basel, Switzerland)·2024
Same author

An Open-Source Platform for Human Pose Estimation and Tracking Using a Heterogeneous Multi-Sensor System.

Sensors (Basel, Switzerland)·2021
Same author

Fusion of Multiple Lidars and Inertial Sensors for the Real-Time Pose Tracking of Human Motion.

Sensors (Basel, Switzerland)·2020
Same author

A LiDAR and IMU Integrated Indoor Navigation System for UAVs and Its Application in Real-Time Pipeline Classification.

Sensors (Basel, Switzerland)·2017

This study introduces a new framework for interactive 3D retrofitting in industrial facilities. It combines 3D point cloud data (PCD) from unmanned aerial vehicles (UAVs) with real-time video for efficient virtual environment updates.

Area of Science:

  • Robotics and Automation
  • Geospatial Engineering
  • Virtual Reality

Background:

  • Industrial facilities require efficient retrofitting processes.
  • Integrating 3D data with real-time video is challenging.
  • Unmanned Aerial Vehicles (UAVs) offer potential for data acquisition.

Purpose of the Study:

  • To develop a generic framework for interactive retrofitting in a virtual environment.
  • To design a UAV-based sensory setup for 3D point cloud data (PCD) acquisition.
  • To enable efficient alignment of PCD with video frames for industrial applications.

Main Methods:

  • Acquisition of 3D point cloud data (PCD) using laser scanners and UAVs.
  • A 4-in-1 alignment approach combining point cloud registration and frame-by-frame video alignment.
Keywords:
cad modelinteractionslaser scannerpoint cloud alignmentpoint cloud dataretrofittingunmanned aerial vehiclevisualization

Related Experiment Videos

  • Development of a virtual interactive retrofitting framework with 3D CAD models and a custom GUI.

    • Main Results:

    • Successful implementation of the framework in a water treatment facility.
    • Qualitative and quantitative evaluation demonstrated framework performance.
    • The framework effectively integrates UAV-acquired PCD and real-time video for retrofitting.

    Conclusions:

    • The proposed framework provides a viable solution for interactive 3D CAD model retrofitting.
    • It enhances the efficiency of updating virtual models in heavy industrial settings.
    • The combination of UAVs and virtual environments streamlines industrial facility management.