论文标题
CMOS图像传感器性能在低光汽车应用中的表征
Characterisation of CMOS Image Sensor Performance in Low Light Automotive Applications
论文作者
论文摘要
随着汽车制造商努力为客户提供360度保护的汽车驾驶员辅助系统（ADA），汽车摄像机在高级驾驶员辅助系统（ADA）中的应用正在迅速发展。视觉系统必须在白天和夜间场景中捕获高质量的图像，以便在诸如车道出发，行人检测和碰撞检测等应用程序中生成软件分析所需的大量信息内容。在弱光方案中产生高质量图像的挑战在于，信号与噪声比大大降低。这可能会导致噪声成为捕获图像中的主要因素，从而使这些安全系统在夜间的效果降低。本文概述了一种系统的系统方法，用于表征最先进的图像传感器性能，以响应噪声，以改善在弱光方案中汽车摄像头的设计和性能。本文概述的实验表明，该方法如何用于表征CMOS图像传感器的性能，以响应电源线上的电噪声。
The applications of automotive cameras in Advanced Driver-Assistance Systems (ADAS) are growing rapidly as automotive manufacturers strive to provide 360 degree protection for their customers. Vision systems must capture high quality images in both daytime and night-time scenarios in order to produce the large informational content required for software analysis in applications such as lane departure, pedestrian detection and collision detection. The challenge in producing high quality images in low light scenarios is that the signal to noise ratio is greatly reduced. This can result in noise becoming the dominant factor in a captured image thereby making these safety systems less effective at night. This paper outlines a systematic method for characterisation of state of the art image sensor performance in response to noise, so as to improve the design and performance of automotive cameras in low light scenarios. The experiment outlined in this paper demonstrates how this method can be used to characterise the performance of CMOS image sensors in response to electrical noise on the power supply lines.
