Dr. Yuichi Tsuda Profile

Dr. Yuichi Tsuda

at Japan Aerospace Exploration Agency

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Proceedings Article | 20 August 2020 Presentation + Paper

Onboard signal processing system of HAYABUSA2

Hiroki Hihara, Junpei Sano, Jun Takada, Tetsuya Masuda, Tatsuaki Okada, Naoko Ogawa, Hisashi Ootake, Yuichi Tsuda

Proceedings Volume 11502, 115020L (2020) https://doi.org/10.1117/12.2570424

KEYWORDS: Image compression, Image processing, Signal processing, Image sensors, Asteroids, Reliability, Sensors, Optical navigation, Field programmable gate arrays, Artificial intelligence

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HAYABUSA2 asteroid probe has completed its mission successfully in the vicinity of asteroid Ryugu on November 13, 2019. It is on its way to the Earth now. Digital Electronics and Optical Navigation Camera (DE-ONC) was developed for scientific observation and real-time image recognition for optical navigation. The development process and its highspeed wire rate signal processing architecture of onboard electronics are explained in this lecture. Highly efficient lossless and lossy image compression algorithm were developed to send observed images through within the limited capacity of communication channels between the asteroid Ryugu and the Earth for scientific purposes. Onboard sensitivity and distortion correction functions for image sensors were also developed to improve compression ratio of images. High level synthesis technology was employed to implement the image recognition functions for optical navigation functions into limited numbers of space grade field programmable gate arrays (FPGAs) and to achieve wire rate signal processing speed. It must also satisfy high reliability and safety requirements of HAYABUSA2 missions. Functional distribution mode, standby redundancy mode and hot redundancy mode were realized with the same device configuration. Model based design was performed to satisfy these requirements. The onboard image processing unit of DE-ONC adopts a unified language processing system and a distributed memory model with reference to a parallel inference machine developed for the Fifth Generation Computer Systems aiming at artificial intelligence technology development. Its image processing module integrates a radiation hardened micro-controller unit (MCU) and FPGAs with the unified language processing system and the distributed object model.

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