Tracking and Spatial Computing Technologies, Virtual Navigation and Ambient Scene Detection Tools, and Motion Planning and Remote Sensing Algorithms in the Metaverse
Tracking and Spatial Computing Technologies, Virtual Navigation and Ambient Scene Detection Tools, and Motion Planning and Remote Sensing Algorithms in the Metaverse

Summary/Abstract: In this article, I cumulate previous research findings indicating that 3D digital environments integrate geospatial mapping and digital contact tracing technologies, artificial vision and immersive visualization systems, and machine learning-based recognition and sensor fusion algorithms. I contribute to the literature on artificial vision and Internet of Things-based decision support systems, metaverse and immersive technologies, and spatial computing and simulation modeling algorithms by showing that ambient intelligence and shared virtual environments require user journey and big geospatial data analytics, virtual modeling and digital twin technologies, and image recognition and visual perception algorithms. Throughout December 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “the metaverse” + “tracking and spatial computing technologies,” “virtual navigation and ambient scene detection tools,” and “motion planning and remote sensing algorithms.” As I inspected research published between 2022 and 2023, only 167 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 31, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, ROBIS, and SRDR.

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