The present study systematically reviews the existing research on urban digital twins,
machine learning techniques, and 3D city modeling and virtual simulation tools. Our findings …

Buildings and roads are the two most basic man-made environments that carry and
interconnect human society. Building and road information has important application value …

Image fusion refers to extracting meaningful information from images of different sources or
modalities, and then fusing them to generate more informative images that are beneficial for …

With the rapid expansion of urban built-up areas in recent years, it has become particularly
urgent to develop a fast, accurate and popularized urban built-up area extraction method …

This article is the first to provide a thorough system design overview along with the fusion
methods selection criteria of a real-world cooperative autonomous driving system enabled …

Computer Supported Cooperative Work (CSCW) in design is an essential facilitator for the
development and implementation of smart cities, where modern cooperative transportation …

Understanding urban dynamics requires comprehensive building analysis, yet current
methods focusing on specific aspects hinder the production of unified and large-scale …

Multimodal feature fusion representation, eg, hyperspectral image and light detection and
ranging (HSI-LiDAR) fusion, is an essential topic for fusion perception. However, existing …

The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

Data-driven modeling usually suffers from data sparsity, especially for large-scale modeling
for urban phenomena based on single-source urban infrastructure data under fine-grained …