A generic space definition framework to support seamless indoor/outdoor navigation systems

Yan, Jinjin; Diakité, Abdoulaye A.; Zlatanova, Sisi

doi:10.1111/tgis.12574

Cited by 42 publications

(43 citation statements)

References 48 publications

(66 reference statements)

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“…Research in indoor navigation is a typical example, although the number of true 3D applications is still limited. Some concepts of indoor space-based approaches have been attempted to be extended for outdoor, however, outdoors specification of space units requires further investigation [21].…”

Section: Discussionmentioning

confidence: 99%

“…The authors defined space as "hollow (unoccupied)", constrained by some partial (or complete) physical boundaries, where human activities can take place. In follow-up research [20,21], the authors introduced three construct elements (Top, Side and Bottom), which allows them to define strict rules for the classification. To quantify the space definitions, the authors proposed three more notions namely Closure, Physical boundary, Virtual boundary.…”

Section: Spaces In Navigationmentioning

confidence: 99%

“…Combination of imaginary and physical boundaries can be used to partition spaces for leisure, drying laundry, growing plants [4], sheltering from the sun and wind [5] and similar activities [6][7][8]. Cells have been introduced in different disciplines related to urban applications ( Figure 1, such as positioning and navigation [9][10][11][12][13][14][15][16][17][18][19][20][21] (indoor [22][23][24][25][26][27][28][29], outdoor [30][31][32]), building micro-climate and thermal comfort [4,[33][34][35][36][37][38], landscape, urban planning and design [39][40][41][42][43][44], urban heat island [45][46][47], interior design [48][49]<...>…”

Section: Introductionmentioning

confidence: 99%

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Spaces in Spatial Science and Urban Applications—State of the Art Review

Zlatanova¹,

Yan²,

Wang

et al. 2020

IJGI

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In spatial science and urban applications, “space" is presented by multiple disciplines as a notion referencing our living environment. Space is used as a general term to help understand particular characteristics of the environment. However, the definition and perception of space varies and these variations have to be harmonised. For example, space may have diverse definitions and classification, the same environment may be abstracted/modelled by contradicting notions of space, which can lead to inconsistencies and misunderstandings. In this paper, we seek to investigate and document the state-of-the-art in the research of “space” regarding its definition, classification, modelling and utilization (2D/3D) in spatial sciences and urban applications. We focus on positioning, navigation, building micro-climate and thermal comfort, landscape, urban planning and design, urban heat island, interior design and planning, transportation and intelligent space. We review 147 research papers, technical reports and on-line resources. We compare the presented space concepts with respect to five criteria—classification, boundary, modelling components, use of standards and granularity. The review inventory is intended for both scientists and professionals in the spatial industry, such as companies, national mapping agencies and governments, and aim to provide a reference to better understand and employ the “space” while working across disciplines.

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Section: Discussionmentioning

confidence: 99%

Section: Spaces In Navigationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spaces in Spatial Science and Urban Applications—State of the Art Review

Zlatanova¹,

Yan²,

Wang

et al. 2020

IJGI

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“…In contrast to the ontology, where only physical spaces can have boundaries, all spaces can be bounded by thematic surfaces in CityGML 3.0. The space concept corresponds also with the observations made in Yan et al (2019) on the categorization of spaces into indoor and outdoor spaces to improve indoor/outdoor navigation. The classification in CityGML 3.0 does not go as far as differentiating semi-indoor and semi-outdoor spaces as well, however, CityGML 3.0 can be used to derive this classification.…”

Section: The Citygml 30 Space Conceptmentioning

confidence: 92%

“…Nevertheless, CityGML 3.0 also allows for deriving the navigable space of the carport. This distinguishes the modelling with CityGML 3.0 from the concepts defined in Yan et al (2019).…”

Section: The Citygml 30 Space Conceptmentioning

confidence: 99%

CityGML 3.0: New Functions Open Up New Applications

Kutzner

Chaturvedi

Kolbe

2020

PFG

134

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The development of the next major version 3.0 of the international OGC standard CityGML is nearing its end. CityGML 3.0 will come up with a variety of new features and revisions of existing modules that will increase the usability of CityGML for more user groups and areas of application. This includes a new space concept, a revised level-of-detail (LOD) concept, the representation of time-dependent properties, the possibility to manage multiple versions of cities, the representation of city objects by point clouds, an improved modelling of constructions, the representation of building units and storeys, an improved representation of traffic infrastructure as well as a clear separation of the conceptual model and the data encodings that allow for providing further encoding specifications besides GML. This paper gives an overview of these new and revised concepts, and illustrates their application through selected use cases. KeywordsCityGML 3.0 · 3D city models · Space concept Zusammenfassung CityGML 3.0: Neue Funktionen eröffnen neue Anwendungen. Die Entwicklung der nächsten Hauptversion 3.0 des internationalen OGC-Standards CityGML nähert sich dem Ende. CityGML 3.0 wird mit einer Vielzahl an neuen Funktionen und der Überarbeitung bestehender Module aufwarten, die die Benutzerfreundlichkeit von CityGML für weitere Benutzergruppen und Anwendungsbereiche verbessern. Dazu gehören ein neues Space-Konzept, ein überarbeitetes Level-of-Detail (LOD)-Konzept, die Darstellung von zeitabhängigen Eigenschaften, die Möglichkeit, mehrere Versionen von Stadtmodellen gleichzeitig zu verwalten, die Darstellung von Stadtobjekten durch Punktwolken, eine verbesserte Modellierung von sonstigen Bauwerken, die Darstellung von Gebäudeeinheiten und Etagen, eine verbesserte Darstellung der Verkehrsinfrastruktur sowie eine klare Trennung des konzeptuellen Modells von der Datenhaltung, die es erlaubt, neben GML weitere Datenformate bereitzustellen. Dieser Artikel gibt einen Überblick über die neuen und überarbeiteten Konzepte und veranschaulicht ihre Anwendung anhand ausgewählter Beispiele.

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