Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

404
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...
404
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

461
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...
461
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

362
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...
362
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

455
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
455
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

359
A slider-crank mechanism 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. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
359
State Space Representation01:27

State Space Representation

208
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
208

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Exploring structural features of sleep-enhancing peptides derived from casein hydrolysates by chemometrics and random forest methodology.

Food chemistry·2024
Same author

Comparison of the Protective Effects of Casein Hydrolysate Containing Tyr-Pro-Val-Glu-Pro-Phe and Casein on the Behaviors and Peripheral and Brain Functions in Mice with Chronic-Stress-Induced Anxiety and Insomnia.

Journal of agricultural and food chemistry·2024
Same author

Profiles and Developmental Transitions of Educational Future Orientation among Senior High School Students in China.

Journal of youth and adolescence·2023
Same author

A Simple High-Throughput Field Sample Preparation Method Based on Matrix-Induced Sugaring-Out for the Simultaneous Determination of 5-Hydroxymethylfurfural and Phenolic Compounds in Honey.

Molecules (Basel, Switzerland)·2022
Same author

Identification of a novel peptide that activates alcohol dehydrogenase from crucian carp swim bladder and how it protects against acute alcohol-induced liver injury in mice.

Journal of pharmaceutical and biomedical analysis·2021
Same author

High-throughput subzero-temperature assisted homogenous liquid-liquid extraction for the fast sample preparation of multiple phenolic compounds in propolis.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2021

相关实验视频

Updated: Jul 4, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K

基于变化自编码器的视觉SLAM的循环关闭检测.

Shibin Song1, Fengjie Yu1, Xiaojie Jiang2

  • 1Department of College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China.

Frontiers in neurorobotics
|February 5, 2024
PubMed
概括

本研究引入了一种使用变量自编码器 (VAE) 进行同时定位和映射 (SLAM) 的新循环闭合检测方法. 基于VAE的方法增强了特征提取,提高了动态环境中的准确性和稳定性.

关键词:
注意力机制注意力机制循环关闭检测 循环关闭检测功能损失的功能损失的功能.变量自动编码器变量自动编码器视觉上的SLAM是什么意思

更多相关视频

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K
Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

791

相关实验视频

Last Updated: Jul 4, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K
Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

791

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
  • 人工智能的人工智能

背景情况:

  • 循环关闭检测对于同时定位和映射 (SLAM) 至关重要,以最大限度地减少定位漂移.
  • 使用手工制作特征的传统方法与环境变化作斗争,导致错误的阳性和不准确的地图.

研究的目的:

  • 提出一种新的循环关闭检测方法,使用变量自编码器 (VAE) 进行强大的特征提取.
  • 用学习的,低维的图像表示来取代手工制作的功能,以提高SLAM准确性.

主要方法:

  • 变量自编码器 (VAE) 被用作基于神经网络的特征提取器.
  • 一个注意力机制和改进的损失功能,增加了限制,增强了图像表示.
  • 几何检查集成到后端,用于过不正确匹配并减轻错误阳性.

主要成果:

  • 提出的基于VAE的方法在精确回忆方面优于传统的词包模型和其他深度学习方法.
  • 该方法表现出对环境变化的高度稳定性.
  • 跨不同数据集的实验证实了它在现实世界SLAM场景中的适用性.

结论:

  • 基于VAE的循环关闭检测方法与现有技术相比,提供了更高的性能和稳定性.
  • 这种方法有效地解决了动态环境中手工制作特征的局限性.
  • 该方法显示了对现实世界SLAM应用的巨大潜力.