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

379
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...
379
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

347
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...
347
Local Attraction01:22

Local Attraction

360
Local attraction refers to disturbances in compass readings caused by magnetic influences from nearby objects such as metal fences, buried pipes, vehicles, buildings, power lines, or natural iron ore deposits. Small items like wristwatches, steel tools, or belt buckles can also interfere with the compass by creating local magnetic fields that distort the Earth's natural magnetic field. These distortions lead to inaccurate readings, posing navigation and land surveying challenges.Local...
360

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

CIMatcher: Cross-scale interaction matcher for accurate local feature matching.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Ultrafast and efficient recovery of valuable metals from spent LiCoO<sub>2</sub> cathode via organic ferrous assisted reductive ammonia leaching.

Waste management (New York, N.Y.)·2026
Same author

Risk factors associated with chronic obstructive pulmonary disease severity among adults: a hospital-based cross-sectional study in Ningbo, China (2022-2025).

Journal of thoracic disease·2026
Same author

Case report: From metabolic instability to remission: a case of pheochromocytoma presenting as atypical diabetes.

Frontiers in endocrinology·2026
Same author

CTFS: A consolidated transformer framework for instance and semantic segmentation tasks.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Coupling CO<sub>2</sub> capture process with electrochemically enhanced membrane distillation system for lithium-ion battery recovery: Reagent-Saving and environmental footprint reducing.

Water research·2024

相关实验视频

Updated: Jan 16, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.1K

AGHL:引导点云注册网络与混合本地特征感知.

Kun Dai, Tao Xie, Zhiqiang Jiang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |October 1, 2025
    PubMed
    概括

    这项研究介绍了AGHL,这是一种用于点云注册的新型无探测器方法. AGHL增强了特征提取和注意力机制,以提高3D点云对齐的准确性.

    科学领域:

    • 计算机视觉 计算机视觉
    • 机器人技术 机器人技术 机器人技术
    • 几何深度学习 几何深度学习

    背景情况:

    • 点云注册对于3D应用程序至关重要.
    • 现有的方法缺乏混合本地特征提取,容易产生无关数据干扰.
    • 变压器虽然对全球环境有效,但在点云数据中,杂的区域可能会阻碍它们.

    研究的目的:

    • 提出AGHL,一种新的无探测器方法,用于准确地记录点云.
    • 解决现有方法中特征提取和全球上下文集成方面的局限性.
    • 为了提高点云识别和对齐的稳定性和准确性.

    主要方法:

    • 引入了混合本地特征感知模块,并行分支用于低级和高级特征提取.
    • 开发了一个引导的交叉注意力机制,以专注于几何一致的区域.
    • 利用欧几里德和高维特征空间来编码点邻近相关性.

    主要成果:

    • AGHL在合成,室内和室外数据集上实现了卓越的点云注册准确性.
    • 该方法有效地编码点及其邻点之间的相关性.
    • 在现实世界机器人本地化实验中表现出强大的概括能力.

    更多相关视频

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.6K
    Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
    10:25

    Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

    Published on: September 2, 2025

    489

    相关实验视频

    Last Updated: Jan 16, 2026

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
    12:39

    A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

    Published on: January 18, 2020

    8.1K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.6K
    Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
    10:25

    Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

    Published on: September 2, 2025

    489

    结论:

    • 通过改进特征表示和注意力机制,AGHL显著增强了点云注册.
    • 拟议的方法为各种3D数据对齐任务提供了可靠的解决方案.
    • 对于需要精确的3D空间理解的现实世界应用,AGHL显示出前景.