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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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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.
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Perceptual Constancy01:12

Perceptual Constancy

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Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
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相关实验视频

Updated: Jan 11, 2026

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
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ACDC:不利条件数据集与对应对强大的语义驾驶场景感知.

Christos Sakaridis, Haoran Wang, Ke Li

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    负面条件数据集与对应 (ACDC) 提供了一个大规模的数据集,用于训练和测试在雾,雨,雪和夜间等具有挑战性的天气条件下自动驾驶感知系统.

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    相关实验视频

    Last Updated: Jan 11, 2026

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    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
    • 机器学习 机器学习

    背景情况:

    • 5级驾驶自动化需要先进的视觉感知,能够处理各种环境条件.
    • 驾驶时语义感知现有的数据集受到正常条件偏差或小规模的限制.
    • 迫切需要全面的数据集,以捕捉不利的视觉场景.

    研究的目的:

    • 介绍不利条件数据集与对应 (ACDC) 以实现自动驾驶中的强大的视觉感知.
    • 在不利条件下促进语义感知模型的培训和评估.
    • 能够研究不确定性意识的语义细分.

    主要方法:

    • 编制了ACDC,一个由8012张图像组成的数据集,其中4006张图像在雾,夜间,雨和雪条件中均分布.
    • 为不利条件图像和相应的正常条件图像提供了像素级的全视图注释.
    • 包含用于图像内不确定性评估的二进制面具,并支持标准和新型细分任务.

    主要成果:

    • ACDC对当前监督和无监督的最先进方法提出了重大挑战.
    • 经验研究强调了数据集在识别现有方法的弱点方面的实用性.
    • 数据集的各种不利条件揭示了语义感知模型中的性能差距.

    结论:

    • 在恶劣条件下的自动驾驶中,ACDC是促进视觉感知的宝贵资源.
    • 该数据集将指导未来的研究和开发更具弹性感知系统.
    • ACDC及其基准的公开可用性将加速该领域的进展.