Accurate and efficient floor localization with scalable spiking graph neural networks
Fuqiang Gu,
Fangming Guo,
Fangwen Yu
et al.
Abstract:Floor localization is crucial for various applications such as emergency response and rescue, indoor positioning, and recommender systems. The existing floor localization systems have many drawbacks, like low accuracy, poor scalability, and high computational costs. In this paper, we first frame the problem of floor localization as one of learning node embeddings to predict the floor label of a subgraph. Then, we introduce FloorLocator, a deep learning-based method for floor localization that integrates effici… Show more
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