Volume 14 Issue 3
Jun.  2025
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SONG Shaojing, LI Xinjian, and FANG Feiyi. A review of point cloud fusion technology: Methods, applications, and challenges[J]. Journal of Radars, 2025, 14(3): 528–547. doi: 10.12000/JR24236
Citation: SONG Shaojing, LI Xinjian, and FANG Feiyi. A review of point cloud fusion technology: Methods, applications, and challenges[J]. Journal of Radars, 2025, 14(3): 528–547. doi: 10.12000/JR24236
shu

A Review of Point Cloud Fusion Technology: Methods, Applications, and Challenges

DOI: 10.12000/JR24236 CSTR: 32380.14.JR24236
  • 1.

    School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai 201209, China

  • 2.

    School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China

More Information
  • Corresponding author: FANG Feiyi, fyfang@sspu.edu.cn
  • Received Date: 2024-11-24
  • Rev Recd Date: 2025-06-03
    • Available Online: 2025-06-06
  • Publish Date: 2025-06-13
    Abstract
  • As an important method of 3D (Three-Dimensional) data processing, point cloud fusion technology has shown great potential and promising applications in many fields. This paper systematically reviews the basic concepts, commonly used techniques, and applications of point cloud fusion and thoroughly analyzes the current status and future development trends of various fusion methods. Additionally, the paper explores the practical applications and challenges of point cloud fusion in fields such as autonomous driving, architecture, and robotics. Special attention is given to balancing algorithmic complexity with fusion accuracy, particularly in addressing issues like noise, data sparsity, and uneven point cloud density. This study serves as a strong reference for the future development of point cloud fusion technology by providing a comprehensive overview of the existing research progress and identifying possible research directions for further improving the accuracy, robustness, and efficiency of fusion algorithms.

     

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