A Radiation-Hardened Neuromorphic Imager with Self-Healing Spiking Pixels and Unified Spiking Neural Network for Space Robotics
A radiation-hardened neuromorphic imager prototype is developed for space exploration, featuring a fully spike-based neuromorphic vision system architecture, in-pixel self-healing against radiation-induced damage, and integrated unified spiking neural network (USNN) with adaptive neurons and synapses and contrast enhancement at low-contrast conditions. Self-healing reduces dark current by 6.25× at 14kGy cumulative dose, recovering recognition accuracy by 27.8%. USNN consumes 0.0529 pj/SOP at 5,000 events/s.
Authors
- Hiromitsu Awano (ORCID: https://orcid.org/0000-0002-3674-4584)
- Masanori Hashimoto (ORCID: https://orcid.org/0000-0002-0377-2108)
- Jeong Hoan Park (ORCID: https://orcid.org/0000-0002-8882-0091)
- Gaoqiang Niu (ORCID: https://orcid.org/0000-0001-5021-4646)
- Longyang Lin (ORCID: https://orcid.org/0000-0002-4702-737X)
- Qiufeng Li (ORCID: https://orcid.org/0000-0002-2608-7656)
- Quan Cheng (ORCID: https://orcid.org/0000-0001-5519-3258)
- Yuan Liang (ORCID: https://orcid.org/0000-0003-0640-8544)
- Wang Liao (ORCID: https://orcid.org/0000-0003-2134-5588)
- Zhengke Yang
- Zhen Xing Kong (ORCID: https://orcid.org/0000-0003-1961-1306)
- Takashi Sato (ORCID: https://orcid.org/0000-0001-7926-4233)
- Jiamin Li (ORCID: https://orcid.org/0009-0009-0232-2138)
Institutions
- Kyoto University (JP)
- Southern University of Science and Technology (CN)
- Kochi University of Technology (JP)
- Kyung Hee University (KR)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.23919/vlsitechnologyandcir65189.2025.11075180
- Citations
- 1
- Primary Topic
- CCD and CMOS Imaging Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.73