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相关概念视频

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

486
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...
486
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

96
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
96
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

421
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...
421
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

85
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
85
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

388
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
388
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

468
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
468

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相关实验视频

Updated: Jul 18, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

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基于动态场景中的密集光流,用于移动机器人的坚固的半直接3DSLAM.

Bo Hu1, Jingwen Luo1

  • 1School of Information Science and Technology, Yunnan Normal University, No. 768 Juxian Street, Chenggong District, Kunming 650500, China.

Biomimetics (Basel, Switzerland)
|August 25, 2023
PubMed
概括

本研究介绍了移动机器人的强大的3D同时定位和映射 (SLAM) 算法. 它通过消除移动对象的错误,有效地处理动态场景,提高映射精度.

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

背景情况:

  • 场景中的动态物体在移动机器人姿势估计中会导致重大错误.
  • 由于动态对象造成的不一致的映射阻碍了机器人导航和环境理解.

研究的目的:

  • 为在动态环境中运行的移动机器人开发一个强大的半直接3D同时定位和映射 (SLAM) 算法.
  • 为了提高移动机器人构建的3D地图的准确性和一致性.

主要方法:

  • 采用稀疏直接方法与同位谱矩阵补偿用于初始姿势估计.
  • 使用密集的光流来识别和消除动态区域,减少错误积累.
  • 通过最大限度地减少再投影错误来优化机器人的姿势,并结合了关键选择策略.
  • 执行全球捆绑调整 (BA) 来构建一个全球一致的3D密集八度图.

主要成果:

  • 该算法成功地弥补了机器人旋转引起的图像变形.
  • 动态区域得到了有效的细分,它们对绘图的影响得到了缓解.
  • 机器人姿势优化是通过最大限度地减少再投影错误来实现的.
  • 构建了一个全球一致的3D密度八面图,展示了卓越的性能.
关键词:
有密集的光学流.动态的场景动态的场景移动机器人 移动机器人搬迁 搬迁 搬迁 搬迁半直接方法 半直接方法同时定位和绘制 (SLAM)

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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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相关实验视频

Last Updated: Jul 18, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
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Determining 3D Flow Fields via Multi-camera Light Field Imaging

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16.7K
Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
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结论:

  • 拟议的半直接3D SLAM算法为动态场景中的移动机器人提供了强大的解决方案.
  • 该方法通过解决动态对象的错误,显著提高了3D绘图的准确性和一致性.
  • 算法的有效性通过模拟和实验得到验证,显示出卓越的性能.