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Neutron-Induced, Single-Event Effects on Neuromorphic Event-Based Vision Sensor: A First Step and Tools to Space Applications
IEEE Access ( IF 3.9 ) Pub Date : 2021-05-31 , DOI: 10.1109/access.2021.3085136
Seth Roffe , Himanshu Akolkar , Alan D. George , Bernabe Linares-Barranco , Ryad B. Benosman

This paper studies the suitability of neuromorphic event-based vision cameras for spaceflight and the effects of neutron radiation on their performance. Neuromorphic event-based vision cameras are novel sensors that implement asynchronous, clockless data acquisition, providing information about the change in illuminance $\ge 120dB$ with sub-millisecond temporal precision. These sensors have huge potential for space applications as they provide an extremely sparse representation of visual dynamics while removing redundant information, thereby conforming to low-resource requirements. An event-based sensor was irradiated under wide-spectrum neutrons at Los Alamos Neutron Science Center and its effects were classified. Radiation-induced damage of the sensor under wide-spectrum neutrons was tested, as was the radiative effect on the signal-to-noise ratio of the output at different angles of incidence from the beam source. We found that the sensor had very fast recovery during radiation, showing high correlation of noise event bursts with respect to source macro-pulses. No statistically significant differences were observed between the number of events induced at different angles of incidence but significant differences were found in the spatial structure of noise events at different angles. The results show that event-based cameras are capable of functioning in a space-like, radiative environment with a signal-to-noise ratio of 3.355. They also show that radiation-induced noise does not affect event-level computation. Finally, we introduce the Event-based Radiation-Induced Noise Simulation Environment (Event-RINSE), a simulation environment based on the noise-modelling we conducted and capable of injecting the effects of radiation-induced noise from the collected data to any stream of events in order to ensure that developed code can operate in a radiative environment. To the best of our knowledge, this is the first time such analysis of neutron-induced noise has been performed on a neuromorphic vision sensor, and this study shows the advantage of using such sensors for space applications.

中文翻译:

中子诱导、单事件对基于神经形态事件的视觉传感器的影响:空间应用的第一步和工具

本文研究了基于神经形态事件的视觉相机在航天中的适用性以及中子辐射对其性能的影响。基于神经形态事件的视觉相机是实现异步、无时钟数据采集的新型传感器,提供有关照度变化的信息 $\ge 120dB$ 具有亚毫秒级的时间精度。这些传感器具有巨大的空间应用潜力,因为它们在去除冗余信息的同时提供了极其稀疏的视觉动态表示,从而符合低资源需求。在洛斯阿拉莫斯中子科学中心,一个基于事件的传感器在广谱中子下受到辐照,并对其影响进行了分类。测试了传感器在宽谱中子下的辐射诱导损坏,以及辐射对光束源不同入射角下输出信噪比的影响。我们发现传感器在辐射期间具有非常快的恢复,显示出噪声事件突发与源宏脉冲的高度相关性。在不同入射角诱发的事件数量之间没有观察到统计学上的显着差异,但在不同角度下噪声事件的空间结构存在显着差异。结果表明,基于事件的相机能够在信噪比为 3.355 的类似空间的辐射环境中运行。他们还表明,辐射引起的噪声不会影响事件级计算。最后,我们介绍了基于事件的辐射诱导噪声模拟环境 (Event-RINSE),这是一种基于我们进行的噪声建模的模拟环境,能够将收集到的数据中的辐射诱导噪声的影响注入到任何数据流中。事件,以确保开发的代码可以在辐射环境中运行。据我们所知,
更新日期:2021-06-22
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