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        <dc:date>2025-11-07T09:02:46+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:标准化测试:ieee_2020-2024_flicker测试</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:ieee_2020-2024_flicker%E6%B5%8B%E8%AF%95&amp;rev=1762506166&amp;do=diff</link>
        <description>IEEE 2020-2024 Flicker测试

一、闪烁（Flicker)的定义

闪烁（Flicker）指相机拍摄的图像中出现周期性明暗波动、条纹或局部亮度不稳定的现象。该现象本质上是时间采样不匹配导致的问题，LED 灯通常以每秒数百次的频率脉冲发光，其表观亮度通过调整脉冲的占空比（即亮灯时间在一个周期内的占比）来控制，而由于人眼相当于一个天然的时间低通滤波器，这种高频脉冲在视觉上会被 “平滑” 为持续稳定的光效，因此人眼看到的 LED 灯处于恒定亮灯状态。但拍摄光源的相机可能会与这些波动以相同的时间尺度进行曝光，使得相机更容易捕捉到光源本身的动态变化。$$ FMI = 100 \times \frac{x_{\max} - x_{\min}}{x_{\max} + x_{\min}} $$$x_{\max}$$x_{\min}$$$ FDI = Prob\left(\frac{x_{\mathrm{meas}} - x_{\mathrm{ref\,off}}}{x_{\mathrm{ref\,off}}} \geq \tau \right)$$$FDI$$Prob$$x_{\m…</description>
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        <dc:date>2026-01-07T09:07:12+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:adas测试用例:闪烁_flicker</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:adas%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E9%97%AA%E7%83%81_flicker&amp;rev=1767776832&amp;do=diff</link>
        <description>闪烁(Flicker)

一、什么是闪烁


在车载成像领域，闪烁（Flicker）指相机拍摄的图像中出现周期性明暗波动、条纹或局部亮度不稳定的现象。这种现象并非光源 “肉眼可见的闪烁”，而是由于相机与光源的周期性特性不匹配，导致图像对光源的 “周期性亮度变化” 产生了可见的捕捉偏差。在ADAS应用中，闪烁会增加识别交通信号、速度标志或安全信息的难度。</description>
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        <dc:date>2025-10-31T07:19:41+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:工具:光源:道路交通信号灯仿真测试平台</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%85%89%E6%BA%90:%E9%81%93%E8%B7%AF%E4%BA%A4%E9%80%9A%E4%BF%A1%E5%8F%B7%E7%81%AF%E4%BB%BF%E7%9C%9F%E6%B5%8B%E8%AF%95%E5%B9%B3%E5%8F%B0&amp;rev=1761895181&amp;do=diff</link>
        <description>研鼎道路交通信号灯仿真测试平台

随着自动驾驶技术的不断发展，相应的测试手段也必须同步升级。当前的测试多聚焦于车道检测、物体追踪和场景理解等方面，但道路交通信号灯识别作为视觉感知系统中的关键环节，却仍处于测试不足的状态。</description>
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        <dc:date>2025-10-31T09:02:48+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:camera测试用例:帧率</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E5%B8%A7%E7%8E%87&amp;rev=1761901368&amp;do=diff</link>
        <description>帧率

一、什么是帧率？

本质上来说，一段视频其实是由一连串的静止画面组合而成的。而这种静止画面就是视频的最小单位帧。而帧率就是指每秒拍摄或显示的连续的画面的数量，单位是HZ（赫兹）或帧/秒（fps）。例如fps30表示一秒内拍摄连续30幅画面,而30HZ表示一秒内显示30帧连续的静止画面，均可以简称为30帧。常见的有30帧、60帧和120帧，帧率越高，画面越流畅，需要传输的数据自然也就越多，成本就越高。…</description>
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        <dc:date>2026-03-23T01:41:28+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像基础知识:成像系统:成像质量问题:噪声_noise</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86:%E6%88%90%E5%83%8F%E7%B3%BB%E7%BB%9F:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E9%97%AE%E9%A2%98:%E5%99%AA%E5%A3%B0_noise&amp;rev=1774230088&amp;do=diff</link>
        <description>噪声（Noise）

一、定义

图像噪声（Image Noise）是指在图像采集、传输或处理过程中，叠加于目标信号之上的非预期干扰。其外在表现为像素亮度或色度的随机波动（如颗粒感、杂色、不规则斑点等）。噪声直接影响图像信噪比（SNR）与视觉质量，是限制$\sigma_{\text{signal}} = \sqrt{N_{\text{signal}}}$$I_{\text{dark}} \propto A \cdot T^3 e^{-\frac{E_g}{kT}}$$I_{\text{dark}}$$T$$E_g$$k$$A$$\sigma_{\text{dark}} = \sqrt{N_{\text{dark}}}$$\sigma_{\text{dark}}$$N_{\text{dark}}$$V_{\text{KTC}} = \sqrt{\frac{kT}{C}}$$V_{\text{thermal}} = \sqrt{4kTRB}$$V_{\text{thermal}} $$S_V(f) \propto \frac{1}{f^\gamma}$$$\text{RMS Noise} …</description>
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        <dc:date>2025-10-31T07:19:02+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:工具:光源:矩阵交通灯</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E5%B7%A5%E5%85%B7:%E5%85%89%E6%BA%90:%E7%9F%A9%E9%98%B5%E4%BA%A4%E9%80%9A%E7%81%AF&amp;rev=1761895142&amp;do=diff</link>
        <description>研鼎矩阵交通灯助力ADAS系统准确识别交通灯状态

 引言

随着自动驾驶技术的飞速发展，车载ADAS（高级驾驶辅助系统）的环境感知性能面临严峻挑战，其中交通灯识别问题尤为显著。本文将深入分析这一技术挑战，并探讨研鼎的矩阵交通灯在ADAS测试中的创新应用。</description>
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        <dc:date>2025-11-03T10:00:10+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:camera测试用例:曝光时间</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:camera%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:%E6%9B%9D%E5%85%89%E6%97%B6%E9%97%B4&amp;rev=1762164010&amp;do=diff</link>
        <description>曝光时间

一、什么是曝光时间？

通俗来说，曝光时间就是从手指按下快门到放开快门的时间间隔，单位是秒。专业来说，曝光时间主要是指底片的感光时间。曝光时间越长，成像就越亮，适合光线较差的情况。反之，曝光时间越短，成像就越暗，适合光线较好的情况。曝光时间是看需要而定的，没有长短好坏之分。比如，假如拍摄的是星星的轨迹，就需要很长的曝光时间（可能长达几个小时），如图1所示。因为星星只有晚上才有，而晚上光线比较差，在夜景的情况下就需要延长曝光时间。但如果拍的是飞驰汽车的清晰身影只需要用很短的时间（通常是几千分之一秒），如图2所示。因为快门速度越快越可以抓取运动的物体，使其清晰成像。…</description>
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        <dc:date>2025-10-31T08:50:46+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>adas测试用例</title>
        <link>https://wiki.yanding.com/doku.php?id=adas%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B&amp;rev=1761900646&amp;do=diff</link>
        <description>闪烁_flicker

对比度表现指标_cpi</description>
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        <dc:date>2025-10-29T08:32:41+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>keywords</title>
        <link>https://wiki.yanding.com/doku.php?id=keywords&amp;rev=1761726761&amp;do=diff</link>
        <description>动态范围/色彩还原/空间频率响应/均匀性/畸变/杂光/闪烁/CMS/图卡</description>
    </item>
    <item rdf:about="https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B2&amp;rev=1772090996&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-02-26T07:29:56+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>测试用例2</title>
        <link>https://wiki.yanding.com/doku.php?id=%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B2&amp;rev=1772090996&amp;do=diff</link>
        <description>测试课堂

ADAS测试用例

	* 对比度表现指标_cpi

	* 闪烁 flicker

Camera测试用例

	* 动态范围

	* 噪声

	* 均匀性

	* 帧率

	* 曝光时间

	* 灰阶响应

	* 畸变

	* 白平衡

	*  眩光

	* 空间频率响应_sfr

	* 纹理丢失

	* 色差

	* 色彩还原

	* 视场角

	* 防抖

CMS测试用例

	* CMS的介绍

	* CMS视镜类型及视野要求

	* CMS测试前所需参数

	* 亮度对比度复现

	* 灰度等级复现

	* 方向均匀性

	* 横向均匀性

	* 双点光源

	* 眩光

	* 景深

	* 色彩还原

	* 帧率…</description>
    </item>
    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:qc_t_1128-2019_%E6%B1%BD%E8%BD%A6%E7%94%A8%E6%91%84%E5%83%8F%E5%A4%B4_%E5%9B%BE%E5%83%8F%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88&amp;rev=1763451496&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2025-11-18T07:38:16+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:标准化测试:qc_t_1128-2019_汽车用摄像头_图像解决方案</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%A0%87%E5%87%86%E5%8C%96%E6%B5%8B%E8%AF%95:qc_t_1128-2019_%E6%B1%BD%E8%BD%A6%E7%94%A8%E6%91%84%E5%83%8F%E5%A4%B4_%E5%9B%BE%E5%83%8F%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88&amp;rev=1763451496&amp;do=diff</link>
        <description>《QC/T 1128-2019：汽车用摄像头》图像解决方案

概述

《QC/T 1128-2019：汽车用摄像头》是我国汽车行业推荐性标准，2019 年发布实施，适用于汽车行驶辅助、环视、倒车等场景的车载摄像头，涵盖光学性能、成像质量、可靠性等相关参数要求与测试方法。本篇文章将重点解读其图像性能测试内容。$\text{SNR (dB)} = 20\log_{10}\left(\frac{\text{Si}}{\text{Ni}}\right)$${Si}$\( i \)${Ni}$\( i \)$$\text{DR} = 20 \left( D_{\text{SNR}=1} - D_{\text{SNR}=\text{MAX}} \right)$$$D_{\text{SNR}=1}$$D_{\text{SNR}=\text{MAX}}$$t_{on}$$t_{SL}$$$\theta_{\text{icolor}} = 
\begin{cases} 
\arctan\left( \dfrac{v'_{ti} - v'_{tr}}{u'_{ti} - u'_{tr}} \right) …</description>
    </item>
    <item rdf:about="https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E5%B8%A7%E7%8E%87&amp;rev=1771899550&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-02-24T02:19:10+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>yanding:成像质量评价:测试用例:cms测试用例:cms帧率</title>
        <link>https://wiki.yanding.com/doku.php?id=yanding:%E6%88%90%E5%83%8F%E8%B4%A8%E9%87%8F%E8%AF%84%E4%BB%B7:%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B:cms%E5%B8%A7%E7%8E%87&amp;rev=1771899550&amp;do=diff</link>
        <description>一、定义

CMS 帧率指车载摄像头监视器系统CMS在单位时间内，从图像采集、处理、传输到监视器完整显示的有效图像总数，单位为 fps（帧/秒）。

      视频数据流的连续图像帧  
该图为视频数据流中的连续图像帧（I₁、I₂、I₃…），其单位时间内的显示频率，即为</description>
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</rdf:RDF>
