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

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

6.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
6.4K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

631
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
631
Distance Measurements by Taping01:18

Distance Measurements by Taping

33
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...
33
Differential Leveling01:12

Differential Leveling

170
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...
170

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

A Temporal-Dynamic Neural-SIR Approach based on LSTM for Stochastic Infectious Disease Forecasting.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features.

Sensors (Basel, Switzerland)·2024
Same author

Bayesian networks for Risk Assessment and postoperative deficit prediction in intraoperative neurophysiology for brain surgery.

Journal of clinical monitoring and computing·2024
Same author

Spectral analysis of sustained and non-sustained ventricular fibrillation in patients with an implantable cardioverter-defibrillator.

Revista espanola de cardiologia·2009
Same author

Effect of charge substitutions at residue his-142 on voltage gating of connexin43 channels.

Biophysical journal·2006
Same author

[Early heart rate increase does not predict the result of the head-up tilt test potentiated with nitroglycerin].

Revista espanola de cardiologia·2005

相关实验视频

Updated: Jun 26, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K

基于LiDAR的强度感知户外3D物体检测

Ammar Yasir Naich1, Jesús Requena Carrión1

  • 1School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
概括

这项研究引入了一种强度感应的voxel编码器,以改进使用LiDAR数据进行3D对象检测. 这种新的方法提高了对环境噪声的稳定性,为特定对象实现了卓越的性能和更快的推断速度.

科学领域:

  • 机器人技术和自主系统
  • 计算机视觉 计算机视觉
  • 传感器融合式传感器

背景情况:

  • 基于LiDAR的3D物体检测对于自主导航至关重要.
  • 现有的方法依赖于几何特征,易受环境噪声的影响 (例如,恶劣天气).
  • 在具有挑战性的条件下需要强大的特征提取方法.

研究的目的:

  • 为强大的3D物体检测提出一个强度感知的voxel编码器.
  • 通过使用强度分布信息来增强LiDAR点云功能.
  • 为了提高基于voxel的单阶段探测器的性能和效率.

主要方法:

  • 开发了一种强度感知的语音编码器,生成强度直方图.
  • 将编码器集成到一个高效的基于voxel的单阶段3D对象探测器中.
  • 在KITTI数据集上评估了该方法.

主要成果:

  • 与最先进的方法相比,汽车对象获得了可比的3D检测结果.
  • 对于行人和自行车物体来说,已经证明了卓越的检测性能.
  • 在较低的计算成本下获得了40.7 FPS的高检测率.
关键词:
3D对象检测检测 3D对象检测李达尔 (LiDAR) 是一种激光雷达.计算机视觉 计算机视觉深度学习是一种深度学习.激光雷达强度激光雷达的强度.

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

522
Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
00:09

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

13.5K

相关实验视频

Last Updated: Jun 26, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

522
Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
00:09

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

13.5K

结论:

  • 强度感应的voxel编码器显著提高了基于LiDAR的3D物体检测的稳定性.
  • 拟议的方法为自主导航系统提供了具有竞争力和高效的解决方案.
  • 强度信息是提高3D对象检测准确性和速度的有价值功能.