AstroGen – Procedural Generation of Highly Detailed Asteroid Models

Li, Xizhi; Weller, René; Zachmann, Gabriel

doi:10.1109/icarcv.2018.8581210

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…These tools are often limited or kept confidential for strategic reasons because their development requires a lot of time and expertise, discouraging their implementation. To the best of the author's knowledge, other tools currently available in the literature encompass both the entire process of image generation from existing minor body shapes, such as SISPO [22], AstroSym [23], and the simulations tools illustrated in [24][25][26]. Alternatively, some tools focus on accurately reproducing surface morphologies, including craters and roughness, by incorporating noise functions, as demonstrated by AstroGen [27,28].…”

Section: Introductionmentioning

confidence: 99%

“…To the best of the author's knowledge, other tools currently available in the literature encompass both the entire process of image generation from existing minor body shapes, such as SISPO [22], AstroSym [23], and the simulations tools illustrated in [24][25][26]. Alternatively, some tools focus on accurately reproducing surface morphologies, including craters and roughness, by incorporating noise functions, as demonstrated by AstroGen [27,28]. Moreover, various computer graphics software options are available for modeling and rendering minor bodies.…”

Section: Introductionmentioning

confidence: 99%

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MONET: The Minor Body Generator Tool at DART Lab

Buonagura,

Pugliatti,

Topputo

2024

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MONET: The Minor Body Generator Tool at DART Lab

Buonagura,

Pugliatti,

Topputo

2024

Sensors

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Numerical approach to synthesizing realistic asteroid surfaces from morphological parameters

Vincent

Weller

et al. 2022

A&A

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Context. The complex shape of asteroids and comets is a critical parameter in many scientific and operational studies. From the global irregular shape down to the local surface details, these topographies reflect the formation and evolutionary processes that remould the celestial body. Furthermore, these processes control how the surface will continue to evolve: from mass wasting on high slopes to spin-up due to anisotropic re-emission of thermal radiation. In addition, for space missions, the irregular coarse shape and complex landscape are a hazard to navigation, which must be accounted for in the planning phase. Aims. In this paper, we propose a novel method to synthesize physically correct 3D shape models of small celestial bodies, such as asteroids, to support the testing of a wide range of parameters in scientific and operational studies. Methods. We modeled virtual asteroid shapes using non-uniform sphere packings to represent the coarse shape, define an implicit surface, and then synthesize high-resolution topography with user-defined, locally controlled spot noise models. This effectively replaces the random noise model (e.g., Perlin noise) used in traditional approaches and allows us to construct a morphology based on actual physical shapes of the most common features observed on asteroids and comets. As an example of such a feature, we propose several kernel functions to add virtual craters to the coarse shape of the asteroid, of which the spatial distribution is controlled by typical crater production functions (e.g., a power law). Results. We demonstrate how this technique can be used to generate a variety of asteroid shapes and topographies using different cratering parameters and distributions. We apply our technique to artificially increase the resolution of existing models of the Didymos-Dimorphos system, the target of the Double Asteroid Redirection Test, and Hera missions. We show that our approach generates models that are suitable for typical analysis relying on detailed asteroid shapes, as well as operational scenarios for space missions. The meshes created with our algorithm can be directly used with existing visualization software and operations or science pipelines to generate data suitable for mission planning and to validate data analysis techniques.

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Evaluation Metrics for Intelligent Generation of Graphical Game Assets: A Systematic Survey-Based Framework

Fukaya,

Daylamani-Zad,

Agius

2024

IEEE Trans. Pattern Anal. Mach. Intell.

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Generative systems for graphical assets have the potential to provide users with high quality assets at the push of a button. However, there are many forms of assets, and many approaches for producing them. Quantitative evaluation of these methods is necessary if practitioners wish to validate or compare their implementations. Furthermore, providing benchmarks for new methods to strive for or surpass. While most methods are validated using tried-and-tested metrics within their own domains, there is no unified method of finding the most appropriate. We present a framework based on a literature pool of close to 200 papers, that provides guidance in selecting metrics to evaluate the validity and quality of artefacts produced, and the operational capabilities of the method.

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AstroGen – Procedural Generation of Highly Detailed Asteroid Models

Cited by 3 publications

References 23 publications

MONET: The Minor Body Generator Tool at DART Lab

MONET: The Minor Body Generator Tool at DART Lab

Numerical approach to synthesizing realistic asteroid surfaces from morphological parameters

Evaluation Metrics for Intelligent Generation of Graphical Game Assets: A Systematic Survey-Based Framework

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