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相关概念视频

Errors in Global Positioning System01:26

Errors in Global Positioning System

36
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,...
36
Distance Corrections01:15

Distance Corrections

25
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
25
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
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

59
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

465
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
465
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

1.2K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.2K

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相关实验视频

Updated: Jun 3, 2025

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

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后处理卡尔曼波器 应用程序,以提高合作意识 消息的位置数据准确性 位置数据准确性

Maximilian Bauder1, Robin Langer1, Tibor Kubjatko2

  • 1CARISSMA Institute of Electric, Connected and Secure Mobility, Technische Hochschule Ingolstadt, Esplanade 10, 85049 Ingolstadt, Germany.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括

这项研究使用卡尔曼过器与合作意识信息 (CAM) 提高了车辆定位的准确性. 将过程噪声共变矩阵Q与无气味卡尔曼波器进行调整,可显著提高智能运输系统的数据精度.

关键词:
在C-ITS中,C-ITS可以使用C-ITS.这就是为什么CAMCAMCAM是CAMCAM.欧洲交易所 (ETC) 服务.卡尔曼过器可以过.在V2X中,V2X是V2X.事故分析 事故分析合作宣传意识的信息.

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相关实验视频

Last Updated: Jun 3, 2025

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A Protocol for Real-time 3D Single Particle Tracking
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An Experimental Protocol for Assessing the Performance of New Ultrasound Probes Based on CMUT Technology in Application to Brain Imaging
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科学领域:

  • 智能运输系统 (ITS) 是一种智能运输系统.
  • 传感器融合式传感器
  • 国家估计.

背景情况:

  • 合作智能运输系统使用合作意识消息 (CAM) 来更新车辆状态.
  • 在CAM数据中,基于GPS的定位存在计量器级别的不准确性,阻碍了诸如电子收费和事故重建等关键应用.
  • 现有的卡尔曼波器应用程序面临CAM数据的挑战,原因是时间分辨率低,时间步骤不均,限制了回顾性分析.

研究的目的:

  • 调查和提高车辆位置数据在合作意识信息 (CAM) 中的准确性.
  • 解决标准卡尔曼过器在应用于非等距离和低频CAM数据时的局限性.
  • 为了评估扩展卡尔曼波器 (EKF) 和无气味卡尔曼波器 (UKF) 的有效性,使用改进的方法来增强定位.

主要方法:

  • 设计并实施了扩展卡尔曼波器 (EKF) 和无气味卡尔曼波器 (UKF) 两种动态模型.
  • 用两个V2X车辆进行驾驶测试,以收集和分析CAM数据.
  • 研究了过程噪声共变矩阵 (Q) 和消息插值的代调整,以处理非等距离的时间步骤.

主要成果:

  • 没有特殊调整的标准卡尔曼过器不足以提高回顾性CAM位置的准确性.
  • 消息插值没有显著改善位置准确性.
  • 带有自适应Q矩阵调节的无气味卡尔曼波器 (UKF) 可提高纵向位置精度高达80% (0.54米),横向位置精度高达72% (0.18米).

结论:

  • 适应式卡尔曼过,特别是具有Q矩阵适应的UKF,对于提高CAM数据定位精度至关重要.
  • 这种方法显著提高了ITS应用程序的追溯分析数据的可靠性.
  • 这些发现有助于更精确的车辆定位,有利于安全和交通管理系统.