Jove
Visualize
联系我们

相关概念视频

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
Instrument Calibration01:12

Instrument Calibration

155
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...
155
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

1.6K
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...
1.6K
Differential Leveling01:12

Differential Leveling

142
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
142
Distance Measurements by Taping01:18

Distance Measurements by Taping

30
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
30
Glassware Calibration01:11

Glassware Calibration

202
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
202

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

Mental workload recognition from EEG signals via semi-supervised autoencoders.

Computer methods in biomechanics and biomedical engineering·2025
Same author

Collaborative multiview time series modeling for vehicle maintenance demand prediction.

Scientific reports·2025
Same author

Robust and Fast Point Cloud Registration for Robot Localization Based on DBSCAN Clustering and Adaptive Segmentation.

Sensors (Basel, Switzerland)·2025
Same author

Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning.

Scientific reports·2024
Same author

Real time object detection using LiDAR and camera fusion for autonomous driving.

Scientific reports·2023
Same author

A comparative study to determine the effects of breed and feed restriction on glucose metabolism of chickens.

Animal nutrition (Zhongguo xu mu shou yi xue hui)·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
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

相关实验视频

Updated: Jun 11, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

16.6K

一个基于深度学习的LiDAR-摄像头联合校准算法.

Fujie Ren1, Haibin Liu1, Huanjie Wang1

  • 1College of Mechanical and Energy Engineering, Beijing University of Technology, Beijing 100124, China.

Sensors (Basel, Switzerland)
|September 28, 2024
PubMed
概括
此摘要是机器生成的。

一个新的深度学习算法使光激光检测和测距 (LiDAR) 和摄像系统的联合校准能够在没有特殊物体的情况下实现. 这种方法通过自动化特征提取和匹配以实现精确的传感器对齐来增强车辆的环境感知.

关键词:
激光雷达摄像头的校准.自动驾驶自动驾驶自动驾驶深度学习是一种深度学习.功能提取 特性提取

更多相关视频

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

10.7K
Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves
06:26

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

Published on: January 12, 2024

348

相关实验视频

Last Updated: Jun 11, 2025

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

16.6K
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

10.7K
Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves
06:26

Stereo-Imaging System DLT Calibration to Capture 3D In Situ Displacements of Stretched Peripheral Nerves

Published on: January 12, 2024

348

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:

  • 多传感器 (MS) 数据融合提高了车辆环境感知稳定性.
  • 精确的MS关节校准对于有效的传感器融合至关重要.
  • 传统的校准方法是繁的,并且由于手动的特征提取和注册,容易出现重大错误.

研究的目的:

  • 为光激光检测和测距 (LiDAR) 和摄像系统提出一种新的联合校准算法.
  • 开发一种基于深度学习的方法,消除了对专门校准对象的需求.
  • 为了自动确定LiDAR和摄像头传感器的相对空间位置.

主要方法:

  • 构建了一个深度学习网络模型,用于自动提取,匹配和聚合特征.
  • 该网络包括特征提取 (色彩和深度图像),特征匹配和特征聚合模块.
  • 开发了一个数学模型来分析传感器关节校准过程,并确定旋转和转换矩阵参数.

主要成果:

  • 拟议的算法实现了0.26厘米的平均翻译误差和0.02°的平均旋转误差.
  • 在KITTI-odometry数据集上验证了性能,超过了其他先进的算法.
  • 深度学习方法在确定LiDAR和相机之间的相对空间位置方面表现出高精度.

结论:

  • 开发的深度学习算法为联合LiDAR-摄像头校准提供了高效和准确的解决方案.
  • 与传统技术相比,这种方法显著降低了校准复杂性和误差.
  • 这种方法有望提高车辆环境感知系统的稳定性和可靠性.