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

Autor: Thanos Petsanis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: SoftwareX, Vol 28, Iss , Pp 101936- (2024)
Druh dokumentu: article
ISSN: 2352-7110
DOI: 10.1016/j.softx.2024.101936
Popis: 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.
Databáze: Directory of Open Access Journals