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Space decomposition based on visible objects in an indoor environment
Environment and Planning B: Urban Analytics and City Science ( IF 3.511 ) Pub Date : 2021-08-11 , DOI: 10.1177/23998083211037347
Kimia Amoozandeh 1 , Stephan Winter 1 , Martin Tomko 1
Affiliation  

When a person moves, the set of objects in their visual range changes. Hence, the set of objects perceived from a specific range of locations may be considered as a signature (possibly non-unique) of this region and be used for the localization of this person. In the case of fixed objects, the number of regions with a set of specific visible objects is limited. A verbal description containing references to elements of this set of visible objects could then be used to localize a person in the space. This paper proposes an approach for decomposing a space into regions that are characterized by such sets of visible objects. In our approach, at least a portion of partial surfaces of an object must be visible (beyond single points) to make part of the signature. Our method calculates two-dimensional visibility polygons for a portion of an object’s surface. Overlaying these polygons, we partition the space in regions of visibility signatures. The approach has been implemented, and we demonstrate how to represent space by qualitative locations using these visibility signatures. We further show how this representation can be used to locate a person within a space by a set of visible objects.



中文翻译:

基于室内环境可见物体的空间分解

当一个人移动时,他们视觉范围内的一组对象会发生变化。因此,从特定位置范围感知的一组对象可以被视为该区域的签名(可能是非唯一的)并用于该人的定位。在固定对象的情况下,具有一组特定可见对象的区域数量是有限的。然后可以使用包含对这组可见对象的元素的引用的口头描述来定位空间中的人。本文提出了一种将空间分解为具有此类可见对象集特征的区域的方法。在我们的方法中,对象的至少一部分部分表面必须是可见的(超出单点)才能构成签名的一部分。我们的方法计算对象表面的一部分的二维可见性多边形。覆盖这些多边形,我们将空间划分为可见性签名区域。该方法已经实施,我们演示了如何使用这些可见性签名通过定性位置来表示空间。我们进一步展示了如何使用这种表示通过一组可见对象在空间内定位一个人。

更新日期:2021-08-11
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