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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

503
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.
503
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
Force Classification01:22

Force Classification

1.1K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.1K
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

1.1K
The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
1.1K
Vision01:24

Vision

52.9K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
52.9K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

5.3K
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...
5.3K

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

High rate of chimeric gene origination by retroposition in plant genomes.

The Plant cell·2006
Same author

Enzyme catalysis: tool to make and break amygdalin hydrogelators from renewable resources: a delivery model for hydrophobic drugs.

Journal of the American Chemical Society·2006
Same author

Theoretical probing of deltahedral closo-auroboranes B(x)Au(x)2- (x = 5-12).

Inorganic chemistry·2006
Same author

Density functional theory/time-dependent DFT studies on the structures, trend in DNA-binding affinities, and spectral properties of complexes [Ru(bpy)2(p-R-pip)]2+ (R = -OH, -CH3, -H, -NO2).

The journal of physical chemistry. A·2006
Same author

Sn12(2-): stannaspherene.

Journal of the American Chemical Society·2006
Same author

High efficient mammalian expression and secretion of a functional humanized single-chain Fv/human interleukin-2 molecules.

World journal of gastroenterology·2006

相关实验视频

Updated: May 23, 2025

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

450

BEVHeight++:朝着强大的视觉中心的3D对象检测.

Lei Yang, Tao Tang, Jun Li

    IEEE transactions on pattern analysis and machine intelligence
    |March 11, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了BEVHeight++,这是一种使用路边摄像头进行自动驾驶感知的新方法. 它通过回归高度到地面来改善3D对象检测,提高准确性和稳定性.

    更多相关视频

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
    06:25

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

    Published on: February 23, 2024

    512
    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

    8.9K

    相关实验视频

    Last Updated: May 23, 2025

    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

    450
    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
    06:25

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

    Published on: February 23, 2024

    512
    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

    8.9K

    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:

    • 目前的自动驾驶系统主要依赖于自我车辆传感器.
    • 路边摄像机提供了另一种感知方法,但面临着现有的视觉中心方法的挑战.
    • 最先进的方法与路边摄像机扎,因为距离越来越远的深度恢复问题.

    研究的目的:

    • 利用路边摄像头开发一种有效的自动驾驶感知方法.
    • 解决当前视觉中心检测方法在路边摄像机场景中的局限性.
    • 提出一种新的方法,BEVHeight++,用于改进3D对象检测和场景理解.

    主要方法:

    • 拟议的BEVHeight++,一种将高度回归到地面的方法,用于距离无关的配方.
    • 整合了高度和深度编码技术,用于强大的二维到鸟视图 (BEV) 投影.
    • 对路边摄像头和自我车辆场景的流行的3D检测基准进行了评估.

    主要成果:

    • 在路边摄像头的基准测试中,BEVHeight++显著超过了以往以视觉为中心的方法.
    • 在自我车辆场景中,BEVHeight++超越了仅深度的方法,在nuScenes和nuScenes-C数据集上显示了NDS和mAP的显著改善.
    • 在KITTI,KITTI-360和Waymo数据集中观察到一致的性能增长,包括对对象级扭曲的稳定性.

    结论:

    • BEVHeight++提供了一种简单而有效的解决方案,用于自动驾驶中的仅摄像头感知.
    • 拟议的高度回归方法提高了路边摄像头对3D物体检测的准确性和稳定性.
    • 这种方法将感知能力扩展到自我车辆的视觉范围之外,为更全面的环境意识铺平了道路.