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Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

4.0K
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...
4.0K
Instrument Calibration01:12

Instrument Calibration

644
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
644
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

854
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
854
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

675
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...
675
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

4.5K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
4.5K
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

779
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
779

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相关实验视频

Updated: Jan 7, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

12.9K

无目标雷达-摄像头校准通过轨道对齐.

Ozan Durmaz1, Hakan Cevikalp1

  • 1Electrical and Electronics Engineering Department, Eskisehir Osmangazi University, Meselik, Eskisehir 26040, Turkey.

Sensors (Basel, Switzerland)
|December 31, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种无目标的方法来校准雷达和摄像头传感器,这对于自主导航至关重要. 它通过跟踪物体轨迹来实现精确的传感器对齐,从而实现可靠的多模式感知,无需物理标记.

关键词:
摄像机摄像机的摄像机是什么雷达 雷达 雷达 雷达 是一个传感器校准 传感器校准时间同步同步同步同步轨道对齐的轨道对齐

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A Protocol for Real-time 3D Single Particle Tracking
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A Protocol for Real-time 3D Single Particle Tracking

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Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
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Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

Published on: December 1, 2016

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相关实验视频

Last Updated: Jan 7, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
13:02

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow

Published on: February 27, 2016

12.9K
A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

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Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
11:57

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

Published on: December 1, 2016

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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
  • 传感器融合式传感器

背景情况:

  • 雷达和摄像头传感器之间的精确外部校准对于机器人和自主导航的多模式感知至关重要.
  • 使用人工目标的传统校准方法在动态或大规模环境中往往是不切实际的.

研究的目的:

  • 提出一个完全无目标的校准框架,用于估计雷达和相机坐标框架之间的刚性空间转换.
  • 为了实现实际的,无标记的多传感器校准,用于现实世界的自主系统.

主要方法:

  • 集成基于YOLOv5的3D对象定位与DBSCAN和RANSAC进行雷达数据处理.
  • 采用一种被动时间同步技术,使用RMSE最小化来纠正时间偏移.
  • 使用Kabsch和Umeyama算法计算刚性转换参数.

主要成果:

  • 实现了亚度的旋转精度和十米级的翻译误差 (0.12-0.27 m).
  • 尽管雷达稀疏和测量偏差,但表现出强大的对齐.
  • 用无人机作为动态目标对未见的运动轨迹进行验证的概括.

结论:

  • 拟议的无目标框架为雷达摄像头校准提供了一个实际的解决方案.
  • 该方法适用于需要无标记多传感器校准的真实世界自主系统.
  • 这些发现有助于在机器人技术中推进可靠的多模式感知.