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相关概念视频

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

389
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
389
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

448
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
448
Distance Corrections01:15

Distance Corrections

25
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
25
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

60
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
60
Influence of Earth's Curvature and Atmospheric Refraction on Leveling01:26

Influence of Earth's Curvature and Atmospheric Refraction on Leveling

54
During leveling, the Earth's curvature and atmospheric refraction introduce deviations in the line of sight from a true horizontal reference. When the line of sight is leveled, it remains perpendicular to the plumb line only at a single point. Beyond this, it deviates due to the Earth’s curvature, represented by the correction C. For a sight distance D, the deviation can be derived using the relationship:This relationship shows that the deviation increases quadratically with distance.
54
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

322
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
322

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相关实验视频

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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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基于场景匹配校正的视觉惯性口径测量中测量错误规则的方法.

Haiqiao Liu1, Zichao Gong1, Jinxu Shen2

  • 1The School of Electrical and Information, Hunan Institute of Engineering, Xiangtan 411104, China.

Micromachines
|November 27, 2024
PubMed
概括

这项研究引入了一种新的方法,用于测量无人驾驶飞行器 (UAV) 中的视觉惯性测距误差,使用场景匹配校正. 拟议的VN+MEMS+SM模型在特定条件下提供了比MEMS+SM模型更好的准确性.

关键词:
在MEMS MEMS中使用.综合导航导航是指一个集成的导航系统.场景匹配 场景匹配

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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
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科学领域:

  • 机器人技术和自主系统
  • 导航和控制 导航和控制
  • 计算机视觉 计算机视觉

背景情况:

  • 无人驾驶飞行器 (UAV) 在集成导航准确性方面面临挑战.
  • 现有的视觉惯性测距方法需要增强的误差测量技术.

研究的目的:

  • 提出和验证一种用于测量无人机集成导航错误的新方法.
  • 通过场景匹配校正来提高视觉惯性测距的准确性.

主要方法:

  • 开发了用于视觉导航,微电子机械系统 (MEMS) 导航和场景匹配的单独模型.
  • 构建了集成的导航错误测量模型:MEMS+SM和VN+MEMS+SM.
  • 基于场景匹配精度,时间和MEMS精度进行实验评估模型性能.

主要成果:

  • VN+MEMS+SM和MEMS+SM模型在场景匹配精度<10 m和时间<10 s时显示出类似的错误.
  • 在10秒匹配时间内确定MEMS+SM模型中特定平均误差的关键场景匹配精度.
  • 当MEMS精度为150,场景匹配精度为50米,时间超过135秒时,VN+MEMS+SM模型的表现优于MEMS+SM.

结论:

  • 拟议的VN+MEMS+SM模型增强了无人机的综合导航错误测量.
  • 场景匹配校正对于提高视觉惯性测距精度至关重要.
  • 最佳性能取决于平衡场景匹配参数和传感器精度.