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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

508
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.
508
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

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相关实验视频

Updated: May 24, 2025

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
06:36

Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

Published on: October 18, 2024

863

物理可实现的敌对创建攻击基于视觉的BEV空间3D对象检测对象的攻击.

Jian Wang, Fan Li, Song Lv

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    对基于视觉的3D物体检测的敌对攻击可以通过在道路上放置一个欺骗性的2D海报来实现. 这种新型攻击欺骗自动驾驶系统检测不存在的物体.

    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

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    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

    451

    相关实验视频

    Last Updated: May 24, 2025

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects
    06:36

    Author Spotlight: Insights into the Analysis of Human Interaction with 3D Virtual Objects

    Published on: October 18, 2024

    863
    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

    515
    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

    451

    科学领域:

    • 计算机视觉 计算机视觉
    • 自主驾驶系统 自主驾驶系统
    • 网络安全 网络安全

    背景情况:

    • 基于视觉的3D对象检测对于自动驾驶至关重要,但易受敌对攻击.
    • 由于视角和染挑战,对2D探测器的现有攻击对3D探测器的有效性较低.

    研究的目的:

    • 提出一种针对基于视觉的3D物体探测器的新型对抗性攻击.
    • 为了证明一张单一的,普遍的2D对抗海报在路面上的有效性.

    主要方法:

    • 开发了一种图像-3D算法,用于将3D空间分化染到2D图像上.
    • 采用了地面真相掩饰的优化策略来训练对手的海报.
    • 通过广泛的模拟和现实世界的实验来验证攻击.

    主要成果:

    • 一个单一的2D对抗海报可以成功地欺骗3D对象检测器.
    • 攻击是普遍的,在各种场景,观点和距离上都是有效的.
    • 现实世界的实验证实了攻击的有效性.

    结论:

    • 拟议的对抗性海报攻击对基于视觉的3D对象检测在自动驾驶中构成重大威胁.
    • 进一步研究可转移性和防御策略是有必要的,以减轻这种脆弱性.