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

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

23
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...
23
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

49
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
49

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

Interactive Effects of Temperature and Nutrient Conditions on Growth and Virulence Factor Expression of <i>Staphylococcus aureus</i> Under Model Food-Relevant Environments.

Foods (Basel, Switzerland)·2026
Same author

Beyond the Visual Spectrum: From RGB-Based Learning to Hyperspectral Intelligence for Plant Disease Detection-Challenges and Opportunities.

Sensors (Basel, Switzerland)·2026
Same author

RustMAE: A Spatiotemporal Transformer for Short- to Medium-Term Warning of Wheat Stripe Rust Spring Spread.

iScience·2026
Same author

Separation of Human P63<sup>+</sup> Lung Progenitor Cells from Growth-Arrested Feeders Using Multidimensional Double Spiral Inertial Microfluidics for Efficient Bioprocessing.

Analytical chemistry·2026
Same author

Therapeutic leukapheresis with severe pertussis: evaluating efficacy, feasibility, and safety.

BMC pediatrics·2026
Same author

Leukapheresis for a 1.5-Month-Old Infant With Severe Pertussis and Hyperleukocytosis: A Case Report.

Journal of clinical apheresis·2026

相关实验视频

Updated: Jun 8, 2025

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

基于视觉的定位方法,用于茶叶收获机器人的采摘点.

Jingwen Yang1, Xin Li1, Xin Wang1

  • 1Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei 230036, China.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
概括

这项研究介绍了茶叶采摘机器人的先进视觉定位系统,提高了复杂环境中采摘点的准确性. 该方法改善了茶叶芽的检测和定位,使机器人茶叶收获更有效.

关键词:
在RGB-D中使用RGB-D.深度学习是一种深度学习.采集点定位位置的定位茶叶茶茶茶茶茶茶茶茶茶茶茶茶茶茶茶茶茶茶

更多相关视频

Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

7.9K
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

8.9K

相关实验视频

Last Updated: Jun 8, 2025

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
Robotic Sensing and Stimuli Provision for Guided Plant Growth
08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Published on: July 1, 2019

7.9K
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

8.9K

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
  • 农业工程 农业工程

背景情况:

  • 茶叶采摘机器人需要在非结构化环境中精确识别和定位采摘点.
  • 由于环境的变化,现有的方法在准确性和稳定性方面面临挑战.

研究的目的:

  • 开发和验证一种新的视觉定位方法,用于采茶机器人使用RGB-D信息融合.
  • 为了提高识别和定位茶叶摘点的准确性和可靠性.

主要方法:

  • 开发了一种改进的T-YOLOv8n模型,用于在多尺度场景中更好地检测和细分茶叶芽和茎.
  • 一个集成RealSense深度传感器和机器人臂的多层视觉伺服策略被设计用于近距离和远距离视图协调.
  • 用干罩信息与深度数据的融合来计算精确的3D采集点坐标.

主要成果:

  • 改进的T-YOLOv8n模型在远视数据集中实现了茶叶芽检测准确率80.8%.
  • 茶叶茎检测的平均平均精度 (mAP) 在近距离视图数据集中达到93.6% (边界框) 和93.7% (面罩),超过了基线.
  • 综合系统显示,采集点定位成功率为86.4%,平均深度测量误差为1.43毫米.

结论:

  • 拟议的RGB-D融合视觉定位方法显著提高了茶叶采摘机器人的采摘点识别精度.
  • 该系统有效地减少了深度信息的波动,为智能和快速的高级茶叶收获提供了强大的技术支持.