室内外空间语义轨迹的多重视角

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI:10.1145/3474717.3483915

Hassan Noureddine, C. Ray, Christophe Claramunt

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引用次数: 0

摘要

利用与人类流动性相关的语义信息在群体外包环境中特别有用，在这种环境中，多维数据表示室内和室外空间中出现的人类轨迹和上下文信息。本文介绍了一种建模方法和数据操作机制，以表示不同抽象层次的语义轨迹。其目标是为室内和室外空间中出现的连续移动模式产生混合空间表示。该方法基于一个多层图，该图表示根据某些给定的时空约束在飞行中派生的轨迹。多层图提供了语义位置的层次结构，根据给定的上下文和用户定义的标准提供了几种数据操作功能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multiple Views of Semantic Trajectories in Indoor and Outdoor Spaces

Exploiting semantic information related to human mobility is particularly useful in crowd-sourcing environments where multidimensional data represent human trajectories and contextual information arising in indoor and outdoor spaces. This paper introduces a modelling approach and data manipulation mechanisms that represent semantic trajectories at different levels of abstraction. The objective is to produce a hybrid spatial representation for continuous mobility patterns emerging in indoor and outdoor spaces. This approach is based on a multi-layered graph that represents trajectories derived on the fly according to some given spatio-temporal constraints. The multi-layer graph provides a hierarchy of semantic places that offers several data manipulation capabilities according to given contextual and user-defined criteria.

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Proceedings of the 29th International Conference on Advances in Geographic Information Systems

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