Computer Vision and Digital Twin Smart City Algorithms, Deep Learning-based Sensing and Spatial Computing Technologies, and Big Data Mapping and Processing Tools in Immersive 3D Virtual Urban Environments
Computer Vision and Digital Twin Smart City Algorithms, Deep Learning-based Sensing and Spatial Computing Technologies, and Big Data Mapping and Processing Tools in Immersive 3D Virtual Urban Environments

Summary/Abstract: The purpose of the paper is to explore how spatial cognition and sensor data processing algorithms, immersive visualization and smart city software systems, and visual modeling and big data-driven planning technologies can drive urban digital twins in smart and environmentally sustainable cities. Deep learning and spatial cognition algorithms, digital twin simulation modeling and deep learning-based sensing technologies, and virtual modeling and simulation tools can redefine simulated 3D environments and digital twin cities.

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