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 ...

Abstract: In this paper, we propose a grid map construction algorithm that utilizes limited bandwidth millimeter-wave (mmWave) radar to achieve high-precision environmental perception and mapping. We ...

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: A novel decision framework for unsignalized intersection autonomous driving is proposed, targeting the optimization of safety and efficiency. The framework is based on the discrete soft ...

Summary: A new study provided concrete evidence that the menopause transition is a critical neurological phase shift rather than a simple reproductive milestone. The two-year investigation tracked ...