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With the rapid advancement of 3D acquisition technologies, 3D sensors are becoming increasingly available and affordable. This includes various types of 3D scanners, LiDARLight Detection and Ranging (LiDAR) systems, and RGB-D cameras, such as Kinect, RealSense, and Apple’s depth camerasDepth cameras. The 3D data captured by these sensors provides rich geometric, shape, and scale information, offering a more comprehensive understanding of the surrounding environment when combined with 2D images. This enhanced understanding is crucial for machines, enabling applications across diverse fields such as autonomous drivingAutonomous driving, roboticsRobotics, remote sensingRemote sensing, and medical treatmentMedical treatment.

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Introduction

  • 章节

  • 发表日期：

    2026年

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  • Yulan Guo,
  • Sheng Ao,
  • Zhiheng Fu,
  • Hao Liu,
  • Qingyong Hu

摘要

With the rapid advancement of 3D acquisition technologies, 3D sensors are becoming increasingly available and affordable. This includes various types of 3D scanners, LiDARLight Detection and Ranging (LiDAR) systems, and RGB-D cameras, such as Kinect, RealSense, and Apple’s depth camerasDepth cameras. The 3D data captured by these sensors provides rich geometric, shape, and scale information, offering a more comprehensive understanding of the surrounding environment when combined with 2D images. This enhanced understanding is crucial for machines, enabling applications across diverse fields such as autonomous drivingAutonomous driving, roboticsRobotics, remote sensingRemote sensing, and medical treatmentMedical treatment.