LFG: An easy-to-use realistic synthetic LandFill Generator

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-07 DOI:10.1016/j.softx.2024.101936

Thanos Petsanis , Athanasios Ch. Kapoutsis , Elias B. Kosmatopoulos

引用次数: 0

Abstract

In this paper we present a Blender add-on named LFG that allows for easy, large and realistic, 3D model LandFill Generation. Large datasets of vast, diverse synthetic landfills are hard to come by, and greatly in need for the purposes of developing and evaluating a multitude of algorithms (e.g. waste classification, 3D-reconstruction, volume estimation algorithms) in the context of research against environment crime. Additionally, they can be used alongside UAV simulators for the development of path-planning algorithms. Although there are some 3D models of landfills available on online 3D-model marketplaces, these are often expensive, low-quality, low-variety and unalterable models. LFG offers customizable, expandable options and realistic features tailored for landfill generation and research.

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LFG：易于使用的逼真合成土地填充生成器

在本文中，我们介绍了一个名为 LFG 的 Blender 附加组件，它可以轻松生成大型、逼真的三维垃圾填埋场模型。庞大、多样的合成垃圾填埋场的大型数据集很难获得，在针对环境犯罪的研究中，为了开发和评估多种算法（如垃圾分类、三维重建、体积估算算法），我们非常需要这些数据集。此外，它们还可与无人机模拟器一起用于开发路径规划算法。虽然在线三维模型市场上有一些垃圾填埋场的三维模型，但这些模型通常价格昂贵、质量低、种类少且不可更改。LFG 可为垃圾填埋场的生成和研究提供可定制、可扩展的选项和逼真的功能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.