Urban Sensing and Immersive 3D Technologies, Computer Vision and Sensor Fusion Algorithms, and Smart City Digital Twins in Extended Reality Environments
Urban Sensing and Immersive 3D Technologies, Computer Vision and Sensor Fusion Algorithms, and Smart City Digital Twins in Extended Reality Environments

Summary/Abstract: This paper provides a systematic literature review of studies investigating smart city and dynamic routing technologies, virtual sensor networks, edge computing and geospatial analytics tools, and metaverse decentralized governance systems. The analysis highlights that multi-source remote sensing data fusion, Web3 and immersive holographic imaging technologies, spatial cognition and neural network-based recognition algorithms, and predictive analytics modeling and synthetic data tools can further interoperable extended reality environments. Throughout July 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “extended reality environments” + “urban sensing and immersive 3D technologies,” “computer vision and sensor fusion algorithms,” and “smart city digital twins.” As research published between 2022 and 2023 was inspected, only 166 articles satisfied the eligibility criteria, and 21 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: BIBOT, DistillerSR, METAGEAR package for R, PICO Portal, SluRp, and SWIFTActive Screener.

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