Toward Seamless Localization: Situational Awareness Using UWB Wearable Systems and Convolutional Neural Networks Article Swipe
Ghazaleh Kia
,
David Plets
,
Ben Van Herbruggen
,
Eli De Poorter
,
Jukka Talvitie
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/jispin.2023.3275118
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/jispin.2023.3275118
Depending on the environment, an increasing number of localization methods are available ranging from satellite-based localization to visual navigation, each with its own advantages and disadvantages. Fast and reliable identification of the environment characteristics is crucial for selecting the best available localization method. This research introduces a deep-learning-based method utilizing data collected with wearable ultra-wideband devices. A novel approach mimicking radar behavior is presented to collect the relevant data. Channel state information is proposed for training of the neural network and enabling the environment detection to obtain the desired situational awareness. The proposed detection approach is evaluated in three types of environments: 1) indoor, 2) open outdoor, and 3) crowded urban. The results show that fast and accurate environment detection for seamless localization purposes can be achieved with a precision of 91% for general scenarios and a precision of 96% for specific use cases.
Related Topics
Concepts
Computer science
Situation awareness
Convolutional neural network
Ranging
Wearable computer
Artificial intelligence
Radar
Deep learning
Artificial neural network
Identification (biology)
Real-time computing
Computer vision
Human–computer interaction
Embedded system
Telecommunications
Engineering
Aerospace engineering
Botany
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jispin.2023.3275118
- https://ieeexplore.ieee.org/ielx7/9955032/9962767/10122970.pdf
- OA Status
- diamond
- Cited By
- 5
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4376464295
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4376464295Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/jispin.2023.3275118Digital Object Identifier
- Title
-
Toward Seamless Localization: Situational Awareness Using UWB Wearable Systems and Convolutional Neural NetworksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Ghazaleh Kia, David Plets, Ben Van Herbruggen, Eli De Poorter, Jukka TalvitieList of authors in order
- Landing page
-
https://doi.org/10.1109/jispin.2023.3275118Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/9955032/9962767/10122970.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/9955032/9962767/10122970.pdfDirect OA link when available
- Concepts
-
Computer science, Situation awareness, Convolutional neural network, Ranging, Wearable computer, Artificial intelligence, Radar, Deep learning, Artificial neural network, Identification (biology), Real-time computing, Computer vision, Human–computer interaction, Embedded system, Telecommunications, Engineering, Aerospace engineering, Botany, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4376464295 |
|---|---|
| doi | https://doi.org/10.1109/jispin.2023.3275118 |
| ids.doi | https://doi.org/10.1109/jispin.2023.3275118 |
| ids.openalex | https://openalex.org/W4376464295 |
| fwci | 0.82941949 |
| type | article |
| title | Toward Seamless Localization: Situational Awareness Using UWB Wearable Systems and Convolutional Neural Networks |
| biblio.issue | |
| biblio.volume | 1 |
| biblio.last_page | 25 |
| biblio.first_page | 12 |
| topics[0].id | https://openalex.org/T10326 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2208 |
| topics[0].subfield.display_name | Electrical and Electronic Engineering |
| topics[0].display_name | Indoor and Outdoor Localization Technologies |
| topics[1].id | https://openalex.org/T11192 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9890999794006348 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2212 |
| topics[1].subfield.display_name | Ocean Engineering |
| topics[1].display_name | Underwater Vehicles and Communication Systems |
| topics[2].id | https://openalex.org/T10191 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9778000116348267 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2202 |
| topics[2].subfield.display_name | Aerospace Engineering |
| topics[2].display_name | Robotics and Sensor-Based Localization |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8043687343597412 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C145804949 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7099213600158691 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q478123 |
| concepts[1].display_name | Situation awareness |
| concepts[2].id | https://openalex.org/C81363708 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6327133178710938 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q17084460 |
| concepts[2].display_name | Convolutional neural network |
| concepts[3].id | https://openalex.org/C115051666 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5744649171829224 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q6522493 |
| concepts[3].display_name | Ranging |
| concepts[4].id | https://openalex.org/C150594956 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5711336731910706 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1334829 |
| concepts[4].display_name | Wearable computer |
| concepts[5].id | https://openalex.org/C154945302 |
| concepts[5].level | 1 |
| concepts[5].score | 0.5205936431884766 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[5].display_name | Artificial intelligence |
| concepts[6].id | https://openalex.org/C554190296 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4819628894329071 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q47528 |
| concepts[6].display_name | Radar |
| concepts[7].id | https://openalex.org/C108583219 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4628327190876007 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q197536 |
| concepts[7].display_name | Deep learning |
| concepts[8].id | https://openalex.org/C50644808 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4617682993412018 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q192776 |
| concepts[8].display_name | Artificial neural network |
| concepts[9].id | https://openalex.org/C116834253 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4540950655937195 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q2039217 |
| concepts[9].display_name | Identification (biology) |
| concepts[10].id | https://openalex.org/C79403827 |
| concepts[10].level | 1 |
| concepts[10].score | 0.4302121102809906 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q3988 |
| concepts[10].display_name | Real-time computing |
| concepts[11].id | https://openalex.org/C31972630 |
| concepts[11].level | 1 |
| concepts[11].score | 0.3728971779346466 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[11].display_name | Computer vision |
| concepts[12].id | https://openalex.org/C107457646 |
| concepts[12].level | 1 |
| concepts[12].score | 0.34305325150489807 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[12].display_name | Human–computer interaction |
| concepts[13].id | https://openalex.org/C149635348 |
| concepts[13].level | 1 |
| concepts[13].score | 0.2004859745502472 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q193040 |
| concepts[13].display_name | Embedded system |
| concepts[14].id | https://openalex.org/C76155785 |
| concepts[14].level | 1 |
| concepts[14].score | 0.10021862387657166 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[14].display_name | Telecommunications |
| concepts[15].id | https://openalex.org/C127413603 |
| concepts[15].level | 0 |
| concepts[15].score | 0.09478911757469177 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[15].display_name | Engineering |
| concepts[16].id | https://openalex.org/C146978453 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q3798668 |
| concepts[16].display_name | Aerospace engineering |
| concepts[17].id | https://openalex.org/C59822182 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q441 |
| concepts[17].display_name | Botany |
| concepts[18].id | https://openalex.org/C86803240 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[18].display_name | Biology |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.8043687343597412 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/situation-awareness |
| keywords[1].score | 0.7099213600158691 |
| keywords[1].display_name | Situation awareness |
| keywords[2].id | https://openalex.org/keywords/convolutional-neural-network |
| keywords[2].score | 0.6327133178710938 |
| keywords[2].display_name | Convolutional neural network |
| keywords[3].id | https://openalex.org/keywords/ranging |
| keywords[3].score | 0.5744649171829224 |
| keywords[3].display_name | Ranging |
| keywords[4].id | https://openalex.org/keywords/wearable-computer |
| keywords[4].score | 0.5711336731910706 |
| keywords[4].display_name | Wearable computer |
| keywords[5].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[5].score | 0.5205936431884766 |
| keywords[5].display_name | Artificial intelligence |
| keywords[6].id | https://openalex.org/keywords/radar |
| keywords[6].score | 0.4819628894329071 |
| keywords[6].display_name | Radar |
| keywords[7].id | https://openalex.org/keywords/deep-learning |
| keywords[7].score | 0.4628327190876007 |
| keywords[7].display_name | Deep learning |
| keywords[8].id | https://openalex.org/keywords/artificial-neural-network |
| keywords[8].score | 0.4617682993412018 |
| keywords[8].display_name | Artificial neural network |
| keywords[9].id | https://openalex.org/keywords/identification |
| keywords[9].score | 0.4540950655937195 |
| keywords[9].display_name | Identification (biology) |
| keywords[10].id | https://openalex.org/keywords/real-time-computing |
| keywords[10].score | 0.4302121102809906 |
| keywords[10].display_name | Real-time computing |
| keywords[11].id | https://openalex.org/keywords/computer-vision |
| keywords[11].score | 0.3728971779346466 |
| keywords[11].display_name | Computer vision |
| keywords[12].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[12].score | 0.34305325150489807 |
| keywords[12].display_name | Human–computer interaction |
| keywords[13].id | https://openalex.org/keywords/embedded-system |
| keywords[13].score | 0.2004859745502472 |
| keywords[13].display_name | Embedded system |
| keywords[14].id | https://openalex.org/keywords/telecommunications |
| keywords[14].score | 0.10021862387657166 |
| keywords[14].display_name | Telecommunications |
| keywords[15].id | https://openalex.org/keywords/engineering |
| keywords[15].score | 0.09478911757469177 |
| keywords[15].display_name | Engineering |
| language | en |
| locations[0].id | doi:10.1109/jispin.2023.3275118 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4387285020 |
| locations[0].source.issn | 2832-7322 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2832-7322 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | IEEE Journal of Indoor and Seamless Positioning and Navigation |
| locations[0].source.host_organization | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_name | Institute of Electrical and Electronics Engineers |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://ieeexplore.ieee.org/ielx7/9955032/9962767/10122970.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IEEE Journal of Indoor and Seamless Positioning and Navigation |
| locations[0].landing_page_url | https://doi.org/10.1109/jispin.2023.3275118 |
| locations[1].id | pmh:oai:archive.ugent.be:01HJ3YC8AD6RSTSS91SF0W7Q8H |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400477 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Ghent University Academic Bibliography (Ghent University) |
| locations[1].source.host_organization | https://openalex.org/I32597200 |
| locations[1].source.host_organization_name | Ghent University |
| locations[1].source.host_organization_lineage | https://openalex.org/I32597200 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | journalArticle |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | IEEE JOURNAL OF INDOOR AND SEAMLESS POSITIONING AND NAVIGATION |
| locations[1].landing_page_url | https://biblio.ugent.be/publication/01HJ3YC8AD6RSTSS91SF0W7Q8H |
| locations[2].id | pmh:oai:doaj.org/article:2a788a707198438db387291184f5de31 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | IEEE Journal of Indoor and Seamless Positioning and Navigation, Vol 1, Pp 12-25 (2023) |
| locations[2].landing_page_url | https://doaj.org/article/2a788a707198438db387291184f5de31 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5087854422 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-7010-986X |
| authorships[0].author.display_name | Ghazaleh Kia |
| authorships[0].countries | FI |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I133731052 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Computer Science, University of Helsinki, Helsinki, Finland |
| authorships[0].institutions[0].id | https://openalex.org/I133731052 |
| authorships[0].institutions[0].ror | https://ror.org/040af2s02 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I133731052 |
| authorships[0].institutions[0].country_code | FI |
| authorships[0].institutions[0].display_name | University of Helsinki |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ghazaleh Kia |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Computer Science, University of Helsinki, Helsinki, Finland |
| authorships[1].author.id | https://openalex.org/A5021128973 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-8879-5076 |
| authorships[1].author.display_name | David Plets |
| authorships[1].countries | BE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I32597200 |
| authorships[1].affiliations[0].raw_affiliation_string | INTEC-WAVES, Ghent University and imec, Ghent, Belgium |
| authorships[1].institutions[0].id | https://openalex.org/I32597200 |
| authorships[1].institutions[0].ror | https://ror.org/00cv9y106 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I32597200 |
| authorships[1].institutions[0].country_code | BE |
| authorships[1].institutions[0].display_name | Ghent University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | David Plets |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | INTEC-WAVES, Ghent University and imec, Ghent, Belgium |
| authorships[2].author.id | https://openalex.org/A5045933854 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-8900-4881 |
| authorships[2].author.display_name | Ben Van Herbruggen |
| authorships[2].countries | BE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I32597200 |
| authorships[2].affiliations[0].raw_affiliation_string | INTEC-IDLAB, Ghent University and imec, Ghent, Belgium |
| authorships[2].institutions[0].id | https://openalex.org/I32597200 |
| authorships[2].institutions[0].ror | https://ror.org/00cv9y106 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I32597200 |
| authorships[2].institutions[0].country_code | BE |
| authorships[2].institutions[0].display_name | Ghent University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Ben Van Herbruggen |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | INTEC-IDLAB, Ghent University and imec, Ghent, Belgium |
| authorships[3].author.id | https://openalex.org/A5026442244 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0214-5751 |
| authorships[3].author.display_name | Eli De Poorter |
| authorships[3].countries | BE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I32597200 |
| authorships[3].affiliations[0].raw_affiliation_string | INTEC-IDLAB, Ghent University and imec, Ghent, Belgium |
| authorships[3].institutions[0].id | https://openalex.org/I32597200 |
| authorships[3].institutions[0].ror | https://ror.org/00cv9y106 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I32597200 |
| authorships[3].institutions[0].country_code | BE |
| authorships[3].institutions[0].display_name | Ghent University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Eli De Poorter |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | INTEC-IDLAB, Ghent University and imec, Ghent, Belgium |
| authorships[4].author.id | https://openalex.org/A5044609448 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-7685-7666 |
| authorships[4].author.display_name | Jukka Talvitie |
| authorships[4].countries | FI |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I166825849 |
| authorships[4].affiliations[0].raw_affiliation_string | Unit of Electrical Engineering, Tampere University, Tampere, Finland |
| authorships[4].institutions[0].id | https://openalex.org/I166825849 |
| authorships[4].institutions[0].ror | https://ror.org/033003e23 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I166825849 |
| authorships[4].institutions[0].country_code | FI |
| authorships[4].institutions[0].display_name | Tampere University |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Jukka Talvitie |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Unit of Electrical Engineering, Tampere University, Tampere, Finland |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://ieeexplore.ieee.org/ielx7/9955032/9962767/10122970.pdf |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Toward Seamless Localization: Situational Awareness Using UWB Wearable Systems and Convolutional Neural Networks |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10326 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2208 |
| primary_topic.subfield.display_name | Electrical and Electronic Engineering |
| primary_topic.display_name | Indoor and Outdoor Localization Technologies |
| related_works | https://openalex.org/W2783354812, https://openalex.org/W4384112194, https://openalex.org/W2103009189, https://openalex.org/W4312958259, https://openalex.org/W2349383066, https://openalex.org/W1969901537, https://openalex.org/W4328132048, https://openalex.org/W4308259661, https://openalex.org/W1639545646, https://openalex.org/W2975489614 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1109/jispin.2023.3275118 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4387285020 |
| best_oa_location.source.issn | 2832-7322 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2832-7322 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | IEEE Journal of Indoor and Seamless Positioning and Navigation |
| best_oa_location.source.host_organization | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://ieeexplore.ieee.org/ielx7/9955032/9962767/10122970.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IEEE Journal of Indoor and Seamless Positioning and Navigation |
| best_oa_location.landing_page_url | https://doi.org/10.1109/jispin.2023.3275118 |
| primary_location.id | doi:10.1109/jispin.2023.3275118 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4387285020 |
| primary_location.source.issn | 2832-7322 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2832-7322 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | IEEE Journal of Indoor and Seamless Positioning and Navigation |
| primary_location.source.host_organization | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://ieeexplore.ieee.org/ielx7/9955032/9962767/10122970.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IEEE Journal of Indoor and Seamless Positioning and Navigation |
| primary_location.landing_page_url | https://doi.org/10.1109/jispin.2023.3275118 |
| publication_date | 2023-01-01 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3088703345, https://openalex.org/W3003457417, https://openalex.org/W3129773144, https://openalex.org/W3189475240, https://openalex.org/W3095703874, https://openalex.org/W6804626652, https://openalex.org/W4292230729, https://openalex.org/W2810482148, https://openalex.org/W2797346475, https://openalex.org/W2735170219, https://openalex.org/W2754032630, https://openalex.org/W4284694565, https://openalex.org/W2014207207, https://openalex.org/W3150461725, https://openalex.org/W7033854070, https://openalex.org/W6777154218, https://openalex.org/W3211231951, https://openalex.org/W2805551236, https://openalex.org/W6925874574, https://openalex.org/W2928259172, https://openalex.org/W3047207110, https://openalex.org/W2914555649, https://openalex.org/W3093464164, https://openalex.org/W4214929294, https://openalex.org/W3045859024, https://openalex.org/W4285400422, https://openalex.org/W2744655549, https://openalex.org/W4210750775, https://openalex.org/W206684081, https://openalex.org/W2061386878, https://openalex.org/W6758924581, https://openalex.org/W4288388635, https://openalex.org/W6811374018, https://openalex.org/W3136926086, https://openalex.org/W4224323795, https://openalex.org/W4229443489, https://openalex.org/W3213321795, https://openalex.org/W3020535773, https://openalex.org/W2914223179 |
| referenced_works_count | 39 |
| abstract_inverted_index.A | 56 |
| abstract_inverted_index.a | 46, 128, 136 |
| abstract_inverted_index.1) | 102 |
| abstract_inverted_index.2) | 104 |
| abstract_inverted_index.3) | 108 |
| abstract_inverted_index.an | 4 |
| abstract_inverted_index.be | 125 |
| abstract_inverted_index.in | 97 |
| abstract_inverted_index.is | 34, 62, 72, 95 |
| abstract_inverted_index.of | 7, 30, 76, 100, 130, 138 |
| abstract_inverted_index.on | 1 |
| abstract_inverted_index.to | 16, 64, 85 |
| abstract_inverted_index.91% | 131 |
| abstract_inverted_index.96% | 139 |
| abstract_inverted_index.The | 91, 111 |
| abstract_inverted_index.and | 24, 27, 80, 107, 116, 135 |
| abstract_inverted_index.are | 10 |
| abstract_inverted_index.can | 124 |
| abstract_inverted_index.for | 36, 74, 120, 132, 140 |
| abstract_inverted_index.its | 21 |
| abstract_inverted_index.own | 22 |
| abstract_inverted_index.the | 2, 31, 38, 66, 77, 82, 87 |
| abstract_inverted_index.use | 142 |
| abstract_inverted_index.Fast | 26 |
| abstract_inverted_index.This | 43 |
| abstract_inverted_index.best | 39 |
| abstract_inverted_index.data | 50 |
| abstract_inverted_index.each | 19 |
| abstract_inverted_index.fast | 115 |
| abstract_inverted_index.from | 13 |
| abstract_inverted_index.open | 105 |
| abstract_inverted_index.show | 113 |
| abstract_inverted_index.that | 114 |
| abstract_inverted_index.with | 20, 52, 127 |
| abstract_inverted_index.data. | 68 |
| abstract_inverted_index.novel | 57 |
| abstract_inverted_index.radar | 60 |
| abstract_inverted_index.state | 70 |
| abstract_inverted_index.three | 98 |
| abstract_inverted_index.types | 99 |
| abstract_inverted_index.cases. | 143 |
| abstract_inverted_index.method | 48 |
| abstract_inverted_index.neural | 78 |
| abstract_inverted_index.number | 6 |
| abstract_inverted_index.obtain | 86 |
| abstract_inverted_index.urban. | 110 |
| abstract_inverted_index.visual | 17 |
| abstract_inverted_index.Channel | 69 |
| abstract_inverted_index.collect | 65 |
| abstract_inverted_index.crowded | 109 |
| abstract_inverted_index.crucial | 35 |
| abstract_inverted_index.desired | 88 |
| abstract_inverted_index.general | 133 |
| abstract_inverted_index.indoor, | 103 |
| abstract_inverted_index.method. | 42 |
| abstract_inverted_index.methods | 9 |
| abstract_inverted_index.network | 79 |
| abstract_inverted_index.ranging | 12 |
| abstract_inverted_index.results | 112 |
| abstract_inverted_index.accurate | 117 |
| abstract_inverted_index.achieved | 126 |
| abstract_inverted_index.approach | 58, 94 |
| abstract_inverted_index.behavior | 61 |
| abstract_inverted_index.devices. | 55 |
| abstract_inverted_index.enabling | 81 |
| abstract_inverted_index.outdoor, | 106 |
| abstract_inverted_index.proposed | 73, 92 |
| abstract_inverted_index.purposes | 123 |
| abstract_inverted_index.relevant | 67 |
| abstract_inverted_index.reliable | 28 |
| abstract_inverted_index.research | 44 |
| abstract_inverted_index.seamless | 121 |
| abstract_inverted_index.specific | 141 |
| abstract_inverted_index.training | 75 |
| abstract_inverted_index.wearable | 53 |
| abstract_inverted_index.Depending | 0 |
| abstract_inverted_index.available | 11, 40 |
| abstract_inverted_index.collected | 51 |
| abstract_inverted_index.detection | 84, 93, 119 |
| abstract_inverted_index.evaluated | 96 |
| abstract_inverted_index.mimicking | 59 |
| abstract_inverted_index.precision | 129, 137 |
| abstract_inverted_index.presented | 63 |
| abstract_inverted_index.scenarios | 134 |
| abstract_inverted_index.selecting | 37 |
| abstract_inverted_index.utilizing | 49 |
| abstract_inverted_index.advantages | 23 |
| abstract_inverted_index.awareness. | 90 |
| abstract_inverted_index.increasing | 5 |
| abstract_inverted_index.introduces | 45 |
| abstract_inverted_index.environment | 32, 83, 118 |
| abstract_inverted_index.information | 71 |
| abstract_inverted_index.navigation, | 18 |
| abstract_inverted_index.situational | 89 |
| abstract_inverted_index.environment, | 3 |
| abstract_inverted_index.localization | 8, 15, 41, 122 |
| abstract_inverted_index.environments: | 101 |
| abstract_inverted_index.disadvantages. | 25 |
| abstract_inverted_index.identification | 29 |
| abstract_inverted_index.ultra-wideband | 54 |
| abstract_inverted_index.characteristics | 33 |
| abstract_inverted_index.satellite-based | 14 |
| abstract_inverted_index.deep-learning-based | 47 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.7099999785423279 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.71031501 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |