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
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.2K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.2K
Detection of Black Holes01:10

Detection of Black Holes

2.2K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.2K
Cluster Sampling Method01:20

Cluster Sampling Method

11.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.9K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

666
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...
666
Introduction and Methods of Leveling01:26

Introduction and Methods of Leveling

98
Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...
98

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

Pyrolytic hydrocarbon growth from cyclopentadiene.

The journal of physical chemistry. A·2010
Same author

In(III)-catalyzed tandem reaction of chromone-derived Morita-Baylis-Hillman alcohols with amines.

Organic & biomolecular chemistry·2010
Same author

Regression-based multi-trait QTL mapping using a structural equation model.

Statistical applications in genetics and molecular biology·2010
Same author

Elevated expression of APE1/Ref-1 and its regulation on IL-6 and IL-8 in bone marrow stromal cells of multiple myeloma.

Clinical lymphoma, myeloma & leukemia·2010
Same author

Accelerated aging of intervertebral discs in a mouse model of progeria.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society·2010
Same author

The synthesis of a multiblock osteotropic polyrotaxane by copper(I)-catalyzed huisgen 1,3-dipolar cycloaddition.

Macromolecular bioscience·2010

相关实验视频

Updated: Jun 29, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

3D点云对象检测方法基于多个尺度的动态稀疏发声化.

Jiayu Wang1, Ye Liu1, Yongjian Zhu2

  • 1School of Computer Science and Information Technology, Shanghai Institute of Technology, Shanghai 200235, China.

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

这项研究引入了一种新的点云物体检测方法,使用动态稀疏声化来提高自动驾驶的安全性. 这种新方法可以更好地检测小物体,如行人和骑自行车的人,在KITTI数据集上提高了5%的准确性.

关键词:
3D对象检测检测 3D对象检测自动驾驶自动驾驶的自动驾驶.卷积神经网络是一种卷积神经网络.一个点云,一个点云.

更多相关视频

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

9.8K
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

530

相关实验视频

Last Updated: Jun 29, 2025

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K
Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

9.8K
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

530

科学领域:

  • 计算机视觉 计算机视觉
  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能

背景情况:

  • 自动驾驶系统在很大程度上依赖于安全和可靠性的感知.
  • 在复杂的环境中检测小物体 (如行人,骑自行车者) 仍然是当前系统面临的重大挑战.

研究的目的:

  • 为自动驾驶提出一个增强的点云对象检测方法.
  • 在具有挑战性的场景中提高小物体的识别和定位精度.

主要方法:

  • 一个新的点云编码网络从点云特征生成伪图像.
  • 滑窗和基于变压器的方法用于特征提取.
  • 多尺度特征融合增强了小物体信息的细粒度.

主要成果:

  • 与KITTI数据集中的PointPillars和其他算法相比,拟议的方法显示了对骑自行车者和行人更好的检测准确性.
  • 对于中等质量和硬质量对象类别,观察到精度显著增加.
  • 总体平均准确度提高了大约5%.

结论:

  • 动态稀疏声音化方法有效地提高了自动驾驶中的小物体检测.
  • 该方法为改善自动驾驶汽车的感知能力提供了一个有希望的解决方案,特别是对弱势道路使用者来说.