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

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...

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

CVIWM: A Tightly Coupled State Estimation Method for Poultry House Inspection Robots in Structurally Degraded Environments.

Animals : an open access journal from MDPI·2026
Same author

Photonic implementation of a switchable dual-channel single-sideband mixer without optical filters.

Applied optics·2026
Same author

Surface engineering and local electron structure modulation to accelerate electroreduction of low-concentration nitrate.

Chemical science·2026
Same author

IGF2BP3 promotes gastric cancer progression by inhibiting ferroptosis through ETV4-mediated regulation of GCH1.

Cancer biology & therapy·2026
Same author

Rational Design of Capsid Protein VP1 Degraders to Overcome Pleconaril Resistance in Inhibiting Enterovirus D68.

JACS Au·2026
Same author

Coordinated immune response distinguishes duration of SARS-CoV-2 viral particle shedding in humans.

iScience·2026

相关实验视频

Updated: May 7, 2026

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.6K

基于道路特征的化舍检查机器人的视觉导航

Hongfeng Deng1,2, Tiemin Zhang1,2,3, Kan Li1,2

  • 1State Key Laboratory of Swine and Poultry Breeding Industry, South China Agricultural University, Guangzhou 510642, China.

Animals : an open access journal from MDPI
|September 14, 2024
PubMed
概括

舍机器人的新视觉导航系统提供了更快,更准确的道路提取. 这提高了检查效率和稳定性,促进了大型自动化家禽养殖.

关键词:
子子子子子检查机器人检查机器人道路的特征 道路的特征 道路的特征视觉导航 视觉导航是指视觉导航.

更多相关视频

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

12.4K

相关实验视频

Last Updated: May 7, 2026

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.6K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut
08:32

Tracking Rats in Operant Conditioning Chambers Using a Versatile Homemade Video Camera and DeepLabCut

Published on: June 15, 2020

12.4K

科学领域:

  • 农业工程 农业工程
  • 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:

  • 在子舍中的检查机器人需要准确的导航以进行高效的监控.
  • 当前的导航方法在速度,准确性和驾驶稳定性方面面临挑战.

研究的目的:

  • 开发一种新的视觉导航系统,以提高子舍机器人的检查准确度.
  • 提高道路开采和机器人导航的速度和稳定性.

主要方法:

  • 提出了一个新的灰度系数 (4B-3R-2G) 快速而精确的道路提取.
  • 开发了一个导航线配套算法,利用道路边界特征提高稳定性.
  • 实施并测试了一个视觉导航系统,将其性能与惯性导航进行比较.

主要成果:

  • 拟议的灰度系数实现了92.918%的细分精度,比深度学习模型快六倍.
  • 视觉导航显示出高精度 (最大偏差为4厘米,平均水平为1.561厘米) 和稳定性 (最大加速为1.122米/秒2,平均水平为0.292米/秒2).
  • 通过视觉导航,检查检测数量和准确性分别增加了21.125%和1.228%.

结论:

  • 开发的视觉导航系统显著提高了机器人导航准确性和驾驶稳定性.
  • 该系统提高了检查效率和效果,降低了大型家禽养殖业的运营成本.
  • 这项技术对于推进子养的自动化和快速监测至关重要.