王芳,郭斌,陆艺,江文松,闫晗.基于GMSL2的智能驾驶域控制器视频输出功能检测系统研究[J].电子测量与仪器学报,2024,38(7):167-178
基于GMSL2的智能驾驶域控制器视频输出功能检测系统研究
Research on video output function detection system for ADC based on GMSL2
  
DOI:
中文关键词:  智能驾驶域控制器  GMSL2  MIPI CSI-2  视频采集  视频质量检测
英文关键词:ADC  GMSL2  MIPI CSI-2  video acquisition  video quality assessment
基金项目:国家自然科学基金(52372423)、杭州市重大科技创新项目(2022AIZD0112)资助
作者单位
王芳 中国计量大学杭州310018 
郭斌 中国计量大学杭州310018 
陆艺 中国计量大学杭州310018 
江文松 中国计量大学杭州310018 
闫晗 杭州沃镭智能科技股份有限公司杭州310018 
AuthorInstitution
Wang Fang China Jiliang University, Hangzhou 310018,China 
Guo Bin China Jiliang University, Hangzhou 310018,China 
Lu Yi China Jiliang University, Hangzhou 310018,China 
Jiang Wensong China Jiliang University, Hangzhou 310018,China 
Yan Han Hangzhou Wolei Intelligent Technology Co., Ltd, Hangzhou 310018,China 
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中文摘要:
      智能驾驶域控制器承担着处理和分析来自各种传感器的数据。然而,随着车载摄像头数量的不断增加,域控制器内部的解串,加串,图像处理等各个环节都可能出现丢帧和像素异常问题,进而对其图像处理结果产生负面影响。为了精准评估智能驾驶域控制器的GMSL2视频输出功能,研究了一种双路GMSL2视频采集和视频质量对比系统。通过硬件板卡设计将GMSL2接口视频信号解串为MIPI CSI-2信号,由桥接芯片MC20901将MIPI CSI-2信号分离为FPGA可识别的LVDS信号和CMOS信号。通过XLINX XC7K325T-FFG900主控芯片进行FPGA逻辑设计,实现MIPI信号解析,YUV422转RGB888视频格式转码,DDR3缓存和PCIe 2.0×8总线上传。最后,以6位数码管百分秒表和24色标准色卡为拍摄对象,将拍摄到的视频帧结合图像特征提取、数码管穿线识别算法和RGB加权欧几里得色差公式,实现视频的丢帧和色差检测。实验结果表明:本系统能够实时采集双路YUV422 8 bit、4K、30 fps的GMSL2接口视频数据,并对智能驾驶域控制器输出的视频是否存在丢帧和色差问题进行定量分析,区分出被测件合格品与不合格品。提高了智能驾驶域控制视频输入输出功能检测结果的可靠性。
英文摘要:
      The advanced driving assistance system domain controller is responsible for processing and analyzing data from various sensors. However, as the number of in-vehicle cameras continues to grow, various stages within the Domain Controller, including deserialization, serialization, and image processing, may encounter frame loss and pixel anomalies, which can adversely affect the results of image processing. To accurately evaluate the GMSL2 video output functionality of the ADC, a dual-channel GMSL2 video capture and video quality comparison system has been researched. The system involves a hardware card design that initially deserializes the GMSL2 video signal into MIPI CSI-2 signals. Subsequently, a bridging IC separates the MIPI signals into LVDS and CMOS signals recognizable by the FPGA. The XLINX XC7K325T-FFG900 main control chip is then utilized for FPGA logic design, enabling the parsing of MIPI signals, conversion of YUV422 to RGB888 video format, DDR3 buffering, and PCIe 2.0×8 bus transmission. Finally, by integrating image feature extraction, digital tube threading recognition algorithms, and the RGB weighted euclidean color difference formula, the system achieves detection of frame loss and color differences in the video. The experimental results indicate that this system can collect dual-channel YUV422 8 bit, 4K, 30 fps video data from the GMSL2 interface in real time, and conduct a quantitative analysis to determine whether the video output from the intelligent driving domain controller has issues with frame loss and color differences, thereby distinguishing between qualified and unqualified device under test. This has increased the reliability of the test results for the video input and output functions of the advanced driving assistance system domain controller.
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