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Performance evaluation of the optical navigation electronics of HAYABUSA2

机译:Hayabusa2光学导航电子产品的性能评价

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Digital Electronics and Optical Navigation Camera (DE-ONC) is an edge computing node of the asteroid probe HAYABUSA2. DE-ONC was developed to provide real-time image recognition performance for optical navigation. Lightweight, low power consumption and miniaturization are realized to overcome resource restrictions. It also satisfies high reliability and safety requirements of HAYABUSA2 missions. There are static and dynamic requirements for reliability and safety. The former increases reliability by adding redundancy combining the concept of functional distribution and time-division redundancy to meet resource constraints. Functional distribution mode, standby redundancy mode and hot redundancy mode were realized with the same device configuration. The real-time performance of optical navigation exploiting image recognition functions of the unit was demonstrated through the interplanetary cruising phase, as well as touch down to and taking off from the asteroid Ryugu. DE-ONC is always required to operate in the critical operation phase. In addition to that, it must always satisfy latency requirements to complete processing within a predetermined duration and to guarantee hard real-time performance. In order to satisfy these requirements, the image processing unit of DE-ONC adopts a unified language processing system and a distributed memory model with reference to a parallel inference machine, which is a so-called the second generation artificial intelligence technology. Its image processing module integrates a radiation hardened micro-controller unit (MCU) and field programmable gate arrays (FPGAs) with the language processing system and the distributed object model. We report the evaluation result of reliability and safety with real-time performance of the unit's architecture.
机译:数字电子和光学导航摄像机(DE-ONC)是小行星探头Hayabusa2的边缘计算节点。开发了DE-opc以提供用于光学导航的实时图像识别性能。实现轻量级,低功耗和小型化以克服资源限制。它还满足Hayabusa2任务的高可靠性和安全要求。对可靠性和安全性有静态和动态的要求。前者通过添加冗余组合功能分布和时分冗余的概念来提高可靠性,以满足资源约束。功能分布模式,待机冗余模式和热冗余模式与相同的设备配置实现。通过行星际巡航阶段证明了该单元的光学导航利用图像识别功能的实时性能,以及从小ryugu触摸到触摸触摸并从小ryugu起飞。在关键操作阶段,总是需要操作阶段。除此之外,它还必须始终满足延迟要求以在预定持续时间内完成处理,并保证硬实时性能。为了满足这些要求,DE-ONC的图像处理单元采用统一的语言处理系统和分布式存储器模型,其参考并行推理机器是一种所谓的第二代人工智能技术。其图像处理模块将辐射硬化的微控制器单元(MCU)和现场可编程门阵列(FPGA)与语言处理系统和分布式对象模型集成。我们报告了具有单位架构的实时性能的可靠性和安全性的评估结果。

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