STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
In this study, we present a building-level functional map of China, covering 110 million individual buildings across 109 cities using 69 terabytes of multi-modal satellite imagery. The national-scale ...
Abstract: Active simultaneous localization and mapping (SLAM) is the problem of planning and controlling the motion of a robot to build the most accurate and complete model of the surrounding ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results