像素
延迟(音频)
图像传感器
百叶窗
动态范围
高动态范围
计算机科学
宽动态范围
异步通信
光电二极管
人工智能
CMOS传感器
计算机视觉
低延迟(资本市场)
卷帘
CMOS芯片
实时计算
工程类
电子工程
物理
电信
光学
计算机网络
作者
Christian Brändli,Raphael Berner,Minhao Yang,Shih‐Chii Liu,Tobi Delbrück
出处
期刊:IEEE Journal of Solid-state Circuits
[Institute of Electrical and Electronics Engineers]
日期:2014-09-02
卷期号:49 (10): 2333-2341
被引量:795
标识
DOI:10.1109/jssc.2014.2342715
摘要
Event-based dynamic vision sensors (DVSs) asynchronously report log intensity changes. Their high dynamic range, sub-ms latency and sparse output make them useful in applications such as robotics and real-time tracking. However they discard absolute intensity information which is useful for object recognition and classification. This paper presents a dynamic and active pixel vision sensor (DAVIS) which addresses this deficiency by outputting asynchronous DVS events and synchronous global shutter frames concurrently. The active pixel sensor (APS) circuits and the DVS circuits within a pixel share a single photodiode. Measurements from a 240×180 sensor array of 18.5 μm 2 pixels fabricated in a 0.18 μm 6M1P CMOS image sensor (CIS) technology show a dynamic range of 130 dB with 11% contrast detection threshold, minimum 3 μs latency, and 3.5% contrast matching for the DVS pathway; and a 51 dB dynamic range with 0.5% FPN for the APS readout.
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