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

395
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...
395
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

42
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
42
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

660
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
660
Errors in Global Positioning System01:26

Errors in Global Positioning System

43
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
43
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

55
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
55
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

12.0K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
12.0K

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

Sea Surface Wind Speed Retrieval from Marine Radar Image Sequences Based on GLCM-Derived Texture Features.

Entropy (Basel, Switzerland)·2025
Same author

Glare suppressed 3D mapping system based on linear polarization filtering and binocular vision fusion.

Scientific reports·2025
Same author

Biomechanical Comparison of a Novel Facet Joint Fusion Fixation Device With Conventional Pedicle Screw Fixation Device: A Finite Element Analysis.

Orthopaedic surgery·2025
Same author

Lite-YOLOv8: a more lightweight algorithm for Tubercle Bacilli detection.

Medical & biological engineering & computing·2024
Same author

A Robust and Integrated Visual Odometry Framework Exploiting the Optical Flow and Feature Point Method.

Sensors (Basel, Switzerland)·2023
Same author

A novel surgical technique for cervical laminoplasty in patients with multilevel cervical spondylotic myelopathy: A case report and literature review.

Frontiers in surgery·2023
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jun 21, 2025

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla
05:54

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla

Published on: October 18, 2021

1.8K

基于虚拟约束的GNSS/IMU综合导航系统的图形优化方法研究

Haiyang Qiu1, Yun Zhao2, Hui Wang1

  • 1School of Naval Architecture and Ocean Engineering, Guangzhou Maritime University, Guangzhou 510725, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一个图形优化模型,用于全球导航卫星系统/惯性测量单元 (GNSS/IMU) 导航的虚拟约束. 该方法提高了卫星信号异常期间的准确性和连续性,提高了导航系统的性能.

关键词:
在GNSS/IMU集成导航系统中.卡尔曼过器可以过.斯拉姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯图形优化优化 图形优化

更多相关视频

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

1.9K
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

相关实验视频

Last Updated: Jun 21, 2025

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla
05:54

Real-Time Dynamic Navigation System for the Precise Quad-Zygomatic Implant Placement in a Patient with a Severely Atrophic Maxilla

Published on: October 18, 2021

1.8K
Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function
06:17

Author Spotlight: Investigating the Effects of Mind-Body-Movement Practices on Brain Function

Published on: January 26, 2024

1.9K
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

科学领域:

  • 导航系统工程 导航系统工程
  • 机器人技术和自主系统
  • 地理学工程 工程地质学

背景情况:

  • 全球导航卫星系统 (GNSS) 和惯性测量单元 (IMU) 的整合对于准确的导航至关重要.
  • 卫星遮蔽和非视线 (NLOS) 条件降低了GNSS定位精度,影响了集成系统的性能.
  • 现有的方法在GNSS信号异常期间努力有效利用历史伪范围数据.

研究的目的:

  • 提出一种基于图形优化的新型GNSS/IMU模型,包含虚拟约束.
  • 在面对GNSS信号退化时增强导航系统的完整性和连续性.
  • 通过使用真实世界的数据,对拟议模型与传统方法的性能进行评估.

主要方法:

  • 为GNSS/IMU集成开发图形优化模型.
  • 引入来自卫星短暂,先前位置和伪色率的虚拟约束.
  • 对图形模型边缘化的分析和与传统的GNSS/IMU和SLAM图形模型的比较.

主要成果:

  • 拟议的方法在即时测试中实现了RMSE误差在5%的真实伪范围测量中.
  • 在10秒GNSS中断期间,水平RMSE精度比传统图形优化提高了30%.
  • 保持系统完整性和连续性,尽管模拟了卫星信号异常.

结论:

  • 虚拟约束方法有效地解决了集成导航系统中的GNSS信号异常.
  • 拟议的图形优化模型为传统方法提供了强大而准确的替代方案.
  • 该方法显示了需要在具有挑战性的条件下可靠导航的实际应用的巨大潜力.