Spatial data generalisation is a critical process in cartography and geographic information science, enabling the simplification of complex geospatial datasets while retaining essential structural and ...

Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

UVA doctoral student Musa Kazim Azimli uses spatial storytelling to reconstruct an Ottoman Empire slave market.

DSC,' enables 3D spatial creation using mobile devices, supporting data-driven operations through AI and XR Introducing a ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

In the race to deliver faster, smarter, and more resilient networks, CSP and telco leaders are finding a powerful ally in ...