Space classification for indoor pedestrian navigation with morphological and functional characteristics Article Swipe
Peng Tian
,
Yunjia Wang
,
Yong Wang
,
Yuan Yang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1049/ell2.13190
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1049/ell2.13190
Indoor navigation networks serve as the foundation for indoor pedestrian navigation services. However, current graph‐based topological network models cannot easily represent complex indoor structures in a manner consistent with user behaviour and cognitive patterns, and thus cannot support fine‐grained indoor navigation analysis services. To enhance the rationality of the model, we considered the influences of morphological and functional characteristics of indoor spaces on pedestrian movement and proposed a method for classifying navigation spaces. This method, based on convex space segmentation, defines morphological and functional characteristic functions, classifying indoor navigation spaces as either corridors or open spaces, which suitable for representing as median axis models or visual graphs, respectively. These categories supported the creation of topological network models for route planning analysis. Indoor map experiments confirmed the effectiveness of our method in identifying various types of corridors and open spaces, that addressing the limitations of width‐based parameters, even in complex indoor settings.
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Metadata
- Type
- article
- Language
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- Landing Page
- https://doi.org/10.1049/ell2.13190
- OA Status
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- References
- 11
- Related Works
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- OpenAlex ID
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https://openalex.org/W4395468811Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1049/ell2.13190Digital Object Identifier
- Title
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Space classification for indoor pedestrian navigation with morphological and functional characteristicsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-04-01Full publication date if available
- Authors
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Peng Tian, Yunjia Wang, Yong Wang, Yuan YangList of authors in order
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https://doi.org/10.1049/ell2.13190Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1049/ell2.13190Direct OA link when available
- Concepts
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Computer science, Pedestrian, Segmentation, Graph, Space (punctuation), Artificial intelligence, Transport engineering, Theoretical computer science, Engineering, Operating systemTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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11Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.indoor | 9, 23, 40, 61, 88, 150 |
| abstract_inverted_index.manner | 27 |
| abstract_inverted_index.median | 102 |
| abstract_inverted_index.method | 69, 130 |
| abstract_inverted_index.model, | 50 |
| abstract_inverted_index.models | 18, 104, 117 |
| abstract_inverted_index.spaces | 62, 90 |
| abstract_inverted_index.visual | 106 |
| abstract_inverted_index.complex | 22, 149 |
| abstract_inverted_index.current | 14 |
| abstract_inverted_index.defines | 81 |
| abstract_inverted_index.enhance | 45 |
| abstract_inverted_index.graphs, | 107 |
| abstract_inverted_index.method, | 75 |
| abstract_inverted_index.network | 17, 116 |
| abstract_inverted_index.spaces, | 96, 139 |
| abstract_inverted_index.spaces. | 73 |
| abstract_inverted_index.support | 38 |
| abstract_inverted_index.various | 133 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 13 |
| abstract_inverted_index.analysis | 42 |
| abstract_inverted_index.creation | 113 |
| abstract_inverted_index.movement | 65 |
| abstract_inverted_index.networks | 3 |
| abstract_inverted_index.planning | 120 |
| abstract_inverted_index.proposed | 67 |
| abstract_inverted_index.suitable | 98 |
| abstract_inverted_index.analysis. | 121 |
| abstract_inverted_index.behaviour | 31 |
| abstract_inverted_index.cognitive | 33 |
| abstract_inverted_index.confirmed | 125 |
| abstract_inverted_index.corridors | 93, 136 |
| abstract_inverted_index.patterns, | 34 |
| abstract_inverted_index.represent | 21 |
| abstract_inverted_index.services. | 12, 43 |
| abstract_inverted_index.settings. | 151 |
| abstract_inverted_index.supported | 111 |
| abstract_inverted_index.addressing | 141 |
| abstract_inverted_index.categories | 110 |
| abstract_inverted_index.considered | 52 |
| abstract_inverted_index.consistent | 28 |
| abstract_inverted_index.foundation | 7 |
| abstract_inverted_index.functional | 58, 84 |
| abstract_inverted_index.functions, | 86 |
| abstract_inverted_index.influences | 54 |
| abstract_inverted_index.navigation | 2, 11, 41, 72, 89 |
| abstract_inverted_index.pedestrian | 10, 64 |
| abstract_inverted_index.structures | 24 |
| abstract_inverted_index.classifying | 71, 87 |
| abstract_inverted_index.experiments | 124 |
| abstract_inverted_index.identifying | 132 |
| abstract_inverted_index.limitations | 143 |
| abstract_inverted_index.parameters, | 146 |
| abstract_inverted_index.rationality | 47 |
| abstract_inverted_index.topological | 16, 115 |
| abstract_inverted_index.representing | 100 |
| abstract_inverted_index.effectiveness | 127 |
| abstract_inverted_index.graph‐based | 15 |
| abstract_inverted_index.morphological | 56, 82 |
| abstract_inverted_index.respectively. | 108 |
| abstract_inverted_index.segmentation, | 80 |
| abstract_inverted_index.width‐based | 145 |
| abstract_inverted_index.characteristic | 85 |
| abstract_inverted_index.fine‐grained | 39 |
| abstract_inverted_index.characteristics | 59 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5030256647 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I25757504 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.08248168 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |