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In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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The center of gravity of a body is an imaginary point where the body's total weight is assumed to be concentrated, and the body is perfectly balanced. The center of the mass of a body is a point at which the whole of the mass of the body appears to be concentrated. If the acceleration due to gravity, g, has the same value at all points on a body, its center of gravity is identical to its center of mass. The center of gravity of homogeneous bodies such as a sphere, cube, or rectangular plate...
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基于视觉定位的轻型无人机着陆模型

Ning Zhang1, Junnan Tan1, Kaichun Yan1

  • 1School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
概括

本研究介绍了Land-YOLO,这是一种用于精确无人机着陆的轻量级算法. 它提高了检测准确度,并减少了用于移动部署的模型大小.

科学领域:

  • 计算机视觉 计算机视觉
  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能

背景情况:

  • 精确的无人飞行器 (UAV) 降落对于各种应用非常重要.
  • 在资源有限的无人机终端上部署复杂的计算机视觉模型仍然是一个挑战.

研究的目的:

  • 开发一种轻量级算法,用于准确地检测无人机着陆信号.
  • 优化模型,以便在移动无人机终端上有效部署.

主要方法:

  • 基于YOLOv8n提出的Land-YOLO算法,结合了GhostConv和PartialConv用于网络轻化.
  • 使用双向特征金字塔网络 (BiFPN) 模块增强特征融合.
  • 利用现实和虚拟环境数据集进行培训和评估.

主要成果:

  • 与YOLOv8n基线相比,Land-YOLO实现了1.4%的更高精度和0.91%的更高mAP0.5.
  • 模型内存使用量减少了42.8%,每秒浮点运算 (FLOP) 减少了32.4%.
  • 已证明适合在无人机上部署移动终端.

结论:

  • 陆地YOLO算法显著提高了无人机的着陆信号检测精度和效率.
关键词:
在 BiFPN 结构结构上.这就是YOLOv8的意义.空中拍摄的航空照片.两个方向的特征金字塔.登陆标志登陆标志轻量级的轻量级的轻量级的轻量级的

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  • 轻量级的设计使得该模型非常适合嵌入式无人机系统的实时应用.
  • 这一进步促进了更加可靠和可访问的自动化无人机着陆操作.