Hazard Detection Using LiDAR and Spiking Neural Networks for Planetary Landing
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- KINOSHITA Hideaki
- Tokyo University of Science
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- KIMURA Shinichi
- Tokyo University of Science
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- FUKUDA Seisuke
- Japan Aerospace Exploration Agency
Bibliographic Information
- Other Title
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- LiDARとスパイキングニューラルネットワークを用いた宇宙機の着陸における障害物検知手法
Abstract
A LiDAR is a sensing device that is sometimes used in space applications to obtain a surface model to achieve safe landing. In this report, we present the results of a feasibility study of low-power LiDAR data processing using Spiking Neural Network (SNN) for spacecraft with limited power resources.
Journal
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- 電子電子情報通信学会論文誌A 基礎・境界
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電子電子情報通信学会論文誌A 基礎・境界 J106-A (6), 197-200, 2023-06-01
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1390014746556904064
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- ISSN
- 18810195
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed