汽车应用中电源噪声对图像传感器性能的影响
Impact of Power Supply Noise on Image Sensor Performance in Automotive Applications
摘要：
视觉系统正迅速成为主动汽车安全系统的重要组成部分。为了在关键的安全应用中发挥作用，这些系统必须在白天和夜间都能生成高质量的图像，以便为车道偏离、行人检测和碰撞检测等应用中的软件分析提供所需的大量信息内容。在低光场景中捕获高质量图像的挑战是信噪比大大降低，这可能导致噪声成为捕获图像中的主导因素，从而使这些安全系统在夜间不太有效。已经进行了研究以开发响应于电噪声表征图像传感器性能的系统方法，以便改进低光场景中的汽车摄像机的设计和性能。图像行噪声的根本原因已经建立和数学算法确定行噪声的大小在图像中已经设计出来。已经开发了一种自动表征方法，以允许响应于图像传感器电源上的电噪声的大频谱的性能表征。从研究成果中也提出了各种改善低光应用的图像传感器性能的策略。
英文摘要：
Vision Systems are quickly becoming a large component of Active Automotive Safety Systems. In order to be effective in critical safety applications these systems must produce high quality images in both daytime and night-time scenarios in order to provide the large informational content required for software analysis in applications such as lane departure, pedestrian detection and collision detection. The challenge in capturing high quality images in low light scenarios is that the signal to noise ratio is greatly reduced, which can result in noise becoming the dominant factor in a captured image, thereby making these safety systems less effective at night. Research has been undertaken to develop a systematic method of characterising image sensor performance in response to electrical noise in order to improve the design and performance of automotive cameras in low light scenarios. The root cause of image row noise has been established and a mathematical algorithm for determining the magnitude of row noise in an image has been devised. An automated characterisation method has been developed to allow performance characterisation in response to a large frequency spectrum of electrical noise on the image sensor power supply. Various strategies of improving image sensor performance for low light applications have also been proposed from the research outcomes.
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