In "low-cost" solutions, ensuring economic accessibility and democratizing the availability of emerging technologies stand as pivotal considerations. This study undertakes a systematic literature review of low-cost 3D mapping solutions. Leveraging SCOPUS as the primary database, a comprehensive bibliometric analysis encompassing 1380 publications was conducted, subsequently narrowing the focus to 87 recent publications for detailed review. This research endeavors to delineate the defining characteristics of low-cost systems, elucidate their principal applications and preferred platforms, assess accessibility level, gauge the extent of innovation in both hardware and software development, explore the contributions of Deep Learning and data fusion, evaluate the consideration of data quality, and examine the contemporary relevance of photogrammetry within low-cost context. The findings demonstrate that many authors subjectively use the term low-cost to highlight qualities of a technology, methodology or sensor, but challenges arise from data quality comparisons with high-cost systems.

中文翻译：

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低成本 3D 测绘解决方案的系统文献综述


在“低成本”解决方案中，确保经济可及性和新兴技术可用性的民主化是关键考虑因素。本研究对低成本 3D 绘图解决方案进行了系统的文献综述。利用 SCOPUS 作为主要数据库，对 1380 种出版物进行了全面的文献计量分析，随后将重点缩小到 87 种最近的出版物进行详细审查。这项研究致力于描绘低成本系统的定义特征，阐明其主要应用和首选平台，评估可访问性水平，衡量硬件和软件开发的创新程度，探索深度学习和数据融合的贡献，评估考虑数据质量，并研究摄影测量在低成本背景下的当代相关性。研究结果表明，许多作者主观地使用“低成本”一词来强调技术、方法或传感器的质量，但与高成本系统的数据质量比较带来了挑战。