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Updated: Jun 15, 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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推进空气污染暴露模型的开放词汇对象检测和街景图像的语义细分

Zhendong Yuan1, Jules Kerckhoffs1, Pi-I Debby Lin2

  • 1Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, Netherlands.

Environmental science & technology
|September 27, 2025
PubMed
概括

街景图像通过向土地利用回归模型 (LUR) 添加视觉数据来增强城市空气污染映射. 这提高了在超局部水平上预测二氧化 (NO2),黑碳 (BC) 和超细颗粒 (UFP) 的准确性.

关键词:
空气污染 空气污染深度学习是一种深度学习.风险曝光评估 风险曝光评估土地使用回归 (LUR)移动传感传感器是移动传感器.在街道视图图像.视觉语言模型 (VLM) 是一种视觉语言模型.视觉转换器模型 (ViT)

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Linear Approximations01:23

Linear Approximations

For a differentiable function of two variables, linear approximation estimates values near a known point by replacing the curved surface with its tangent plane. Consider the function\begin{equation*}f(x,y)=x^2+3y^2\end{equation*}near the point (2, 1). The exact value at this point is f(2, 1) = 22 + 3(1)2 = 4 + 3 = 7.The linear approximation of f(x, y)) near (a, b) is\begin{equation*}L(x,y)=f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b)\end{equation*}First, compute the partial derivatives: fx(x, y) = 2x and...