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Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks

机译:使用地标具有不可观察的跨空间关系的定性时空流推理

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Qualitative spatio-temporal reasoning is an active research area in Artificial Intelligence. In many situations there is a need to reason about intertemporal qualitative spatial relations, i.e. qualitative relations between spatial regions at different time-points. However, these relations can never be explicitly observed since they are between regions at different time-points. In applications where the qualitative spatial relations are partly acquired by for example a robotic system it is therefore necessary to infer these relations. This problem has, to the best of our knowledge, not been explicitly studied before. The contribution presented in this paper is two-fold. First, we present a spatio-temporal logic MSTL, which allows for spatio-temporal stream reasoning. Second, we define the concept of a landmark as a region that does not change between time-points and use these landmarks to infer qualitative spatio-temporal relations between non-landmark regions at different time-points. The qualitative spatial reasoning is done in RCC-8, but the approach is general and can be applied to any similar qualitative spatial formalism.
机译:定性时空推理是人工智能的活跃研究区域。在许多情况下,需要推理跨期定性空间关系,即不同时间点的空间区域之间的定性关系。然而,由于它们在不同时间点的地区之间,因此永远无法明确地观察到这些关系。在例如通过例如机器人系统部分地获得定性空间关系的应用中,需要推断这些关系。据我们所知,这个问题没有明确研究。本文提出的贡献是两倍。首先,我们提出了一种时空逻辑MSTL,其允许时空流标推理。其次,我们将地标的概念定义为在时间点之间不改变的区域,并使用这些地标在不同时间点的非地标区域之间推断出质的时空关系。定性空间推理在RCC-8中完成,但该方法是一般的,可以应用于任何类似的定性空间形式主义。

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