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莫奈:达特实验室的小天体生成工具。

MONET: The Minor Body Generator Tool at DART Lab.

作者信息

Buonagura Carmine, Pugliatti Mattia, Topputo Francesco

机构信息

Department of Aerospace Science and Technology, Politecnico di Milano, 20156 Milan, Italy.

出版信息

Sensors (Basel). 2024 Jun 5;24(11):3658. doi: 10.3390/s24113658.

DOI:10.3390/s24113658
PMID:38894448
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11175308/
Abstract

Minor bodies exhibit considerable variability in shape and surface morphology, posing challenges for spacecraft operations, which are further compounded by highly non-linear dynamics and limited communication windows with Earth. Additionally, uncertainties persist in the shape and surface morphology of minor bodies due to errors in ground-based estimation techniques. The growing need for autonomy underscores the importance of robust image processing and visual-based navigation methods. To address this demand, it is essential to conduct tests on a variety of body shapes and with different surface morphological features. This work introduces the procedural Minor bOdy geNErator Tool (MONET), implemented using an open-source 3D computer graphics software. The starting point of MONET is the three-dimensional mesh of a generic minor body, which is procedurally modified by introducing craters, boulders, and surface roughness, resulting in a photorealistic model. MONET offers the flexibility to generate a diverse range of shapes and surface morphological features, aiding in the recreation of various minor bodies. Users can fine-tune relevant parameters to create the desired conditions based on the specific application requirements. The tool offers the capability to generate two default families of models: rubble-pile, characterized by numerous different-sized boulders, and comet-like, reflecting the typical morphology of comets. MONET serves as a valuable resource for researchers and engineers involved in minor body exploration missions and related projects, providing insights into the adaptability and effectiveness of guidance and navigation techniques across a wide range of morphological scenarios.

摘要

小天体在形状和表面形态上表现出很大的变异性,这给航天器操作带来了挑战,高度非线性动力学和与地球有限的通信窗口进一步加剧了这些挑战。此外,由于地面估计技术的误差,小天体的形状和表面形态仍存在不确定性。对自主性的需求日益增长,凸显了强大的图像处理和基于视觉的导航方法的重要性。为满足这一需求,对各种形状和具有不同表面形态特征的天体进行测试至关重要。这项工作介绍了程序式小天体生成工具(MONET),它是使用开源3D计算机图形软件实现的。MONET的起点是一个通用小天体的三维网格,通过引入陨石坑、巨石和表面粗糙度对其进行程序修改,从而生成一个逼真的模型。MONET提供了生成各种形状和表面形态特征的灵活性,有助于重现各种小天体。用户可以根据特定应用要求微调相关参数,以创建所需条件。该工具能够生成两个默认的模型族:以众多不同大小巨石为特征的碎石堆模型族,以及反映彗星典型形态的类彗星模型族。MONET为参与小天体探测任务及相关项目的研究人员和工程师提供了宝贵资源,有助于深入了解在广泛形态场景下制导与导航技术的适应性和有效性。

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本文引用的文献

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CORTO: The Celestial Object Rendering TOol at DART Lab.CORTO:DART实验室的天体渲染工具。
Sensors (Basel). 2023 Dec 3;23(23):9595. doi: 10.3390/s23239595.
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SISPO: Space Imaging Simulator for Proximity Operations.SISPO:近距离作业空间成像模拟器。
PLoS One. 2022 Mar 4;17(3):e0263882. doi: 10.1371/journal.pone.0263882. eCollection 2022.
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The unexpected surface of asteroid (101955) Bennu.小行星“贝努”(101955)出人意料的表面。
Nature. 2019 Apr;568(7750):55-60. doi: 10.1038/s41586-019-1033-6. Epub 2019 Mar 19.