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相关概念视频

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Visual System01:26

Visual System

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
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Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
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Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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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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Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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相关实验视频

Updated: Jul 1, 2025

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
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林业导航机的视觉系统 林业导航机的视觉系统

Tiago Pereira1, Tiago Gameiro1, José Pedro2

  • 1Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes-Quinta da Nora, 3030-199 Coimbra, Portugal.

Sensors (Basel, Switzerland)
|March 13, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用RGBD和热摄像头在森林中进行机器人导航的视觉系统. 该系统增强了障碍物识别和轨道调整,在具有挑战性的地形上实现更安全的自动驾驶.

关键词:
这是YOLOv5的.自主移动机器人 自主移动机器人图像处理算法图像处理算法对象检测检测对象检测对象检测视觉系统 视觉系统

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相关实验视频

Last Updated: Jul 1, 2025

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉
  • 环境传感器环境传感器

背景情况:

  • 在森林等复杂环境中的自主导航存在重大挑战.
  • 现有系统经常面临动态障碍和变化的地形.
  • 对于非结构化环境中的机器人应用来说,需要强大的实时感知系统至关重要.

研究的目的:

  • 开发和评估一个集成的视觉系统,以加强在森林环境中的自主机器人导航.
  • 评估各种传感器融合 (RGBD和热摄像头) 和先进算法的对导航安全和效率的影响.
  • 用量身定制的数据集和现实森林测试来验证系统的性能.

主要方法:

  • 开发一个集成英特尔RealSense 435i (RGBD) 和FLIR ADK (热) 摄像头的视觉系统.
  • 实施先进的图像处理算法,用于实时识别障碍物和轨迹规划.
  • 创建和利用两个专门的数据集,用于训练和评估森林条件下的导航性能.

主要成果:

  • 综合视觉系统证明了有效的实时决策和避开障碍.
  • 在实际森林环境中的测试证实了该系统能够动态调整机器人轨迹的能力.
  • 该系统对于在具有挑战性的森林地形中确保安全的自主导航至关重要.

结论:

  • 开发的视觉系统显著提高了复杂森林环境中的机器人的自主导航能力.
  • 传感器融合和定制算法是实现在非结构化的户外环境中强大的性能的关键.
  • 该系统的有效性通过现实世界的测试得到验证,突出了它在各种机器人应用中的潜力.