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Point Cloud-Based Virtualization of Real-World Environments

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2024, 10(6), pp.125-133
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : December 9, 2024
  • Accepted : December 19, 2024
  • Published : December 31, 2024

Do-Hyeong Kim 1 JIN YOUNG HOON 1

1백석대학교

Accredited

ABSTRACT

Recent advancements in virtual reality (VR) and robotics have increased interest in integrating physical and virtual environments. Point cloud data from cameras and LiDAR are essential for capturing 3D environmental details. This study proposes a ray-casting-based method for generating real-time point cloud data, enabling efficient virtual environment exploration. The agent prioritizes unexplored regions by analyzing point cloud density, separates ground and obstacles using RANSAC, and plans paths with the A* algorithm and Catmull-Rom splines. Implemented in Unity, the method supports real-time processing without complex preprocessing. Experiments confirm its effectiveness, highlighting its potential for various applications.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.