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相关概念视频

Color Vision01:24

Color Vision

1.7K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Learning Disabilities01:25

Learning Disabilities

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Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
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Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Force Classification01:22

Force Classification

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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,...
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Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

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The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
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Visual Agnosia01:12

Visual Agnosia

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Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
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相关实验视频

Updated: Feb 28, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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交通灯识别助手用于色彩视觉缺陷使用YOLO与多语言音频反.

Yinyuan Ma1, Fathan Arifah1, Qonita Afifah2

  • 1School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
概括

这项研究开发了一种交通灯识别系统,用于色视障碍 (CVD) 的驾驶员. 该系统使用空间定位并提供多语言的音频反,通过智能运输系统 (ITS) 提高驾驶安全.

关键词:
辅助传感技术的技术.颜色视力缺陷 缺乏色彩视力智能运输系统 智能运输系统空间位置推理推理交通灯识别系统 交通灯识别系统

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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
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Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind

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相关实验视频

Last Updated: Feb 28, 2026

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科学领域:

  • 智能运输系统 (ITS) 是一种智能运输系统.
  • 计算机视觉 计算机视觉
  • 辅助技术 辅助技术 辅助技术

背景情况:

  • 患有色视障碍 (CVD) 的驾驶员在识别交通信号灯颜色方面面临重大挑战,增加驾驶风险.
  • 现有的交通信号识别系统通常依赖于色彩感知,对心血管疾病患者构成局限.
  • 越来越需要包容性智能运输系统 (ITS),以满足各种用户需求,包括视力障碍者.

研究的目的:

  • 开发一个创新的交通信号灯识别系统,用于有CVD的司机.
  • 为增强用户体验提供线下,多语言音频反 (印尼语,普通话,英语).
  • 为了减少对基于颜色的感知在交通信号识别辅助ITS应用程序的依赖.

主要方法:

  • 实现一个空间位置推断框架,使用一个YOLOv12模型与全交通信号灯注释.
  • 基于活跃灯的相对位置的路灯状态识别,最大限度地减少对颜色信息的依赖.
  • 使用包括各种驾驶条件 (白天/夜晚,各种天气,交通密度) 的综合数据集进行系统评估.

主要成果:

  • 该系统实现了大约0.73的平均检测可靠性,最大可靠性为0.95.
  • 在仅使用CPU的配置上,证明了0.214秒的低处理延迟,表明实时可行性.
  • 成功识别了使用空间定位而不是仅仅使用颜色的交通灯状态.

结论:

  • 开发的交通信号灯识别系统为CVD驾驶员提供了可行的辅助工具.
  • 该系统通过在ITS框架内提供智能辅助来提高驾驶安全.
  • 这种方法有助于为色视障碍患者提供更具包容性和可访问性的交通工具.