CMOS图像传感器在汽车弱光应用中的性能表征
Characterisation of CMOS Image Sensor Performance in Low Light Automotive Applications
摘要：
随着汽车制造商努力为客户提供360度保护，汽车摄像头在高级驾驶辅助系统（ADAS）中的应用正在迅速增长。视觉系统必须在白天和夜间都能捕捉到高质量的图像，以便生成车道偏离、行人检测和碰撞检测等应用中软件分析所需的大量信息内容。在弱光场景中生成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。本文概述了一种系统的方法，用于表征最先进的图像传感器的性能，以响应噪声，从而提高汽车摄像头在低光场景下的设计和性能。本文概述的实验演示了如何使用这种方法来验证CMOS图像传感器对电源线上的电噪声的响应性能。
英文摘要：
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.
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