{"id":"https://openalex.org/W4401973904","doi":"https://doi.org/10.1177/01423312241266641","title":"Optimization of indoor vehicle ultra-wideband 3D localization using graph attention networks","display_name":"Optimization of indoor vehicle ultra-wideband 3D localization using graph attention networks","publication_year":2024,"publication_date":"2024-08-20","ids":{"openalex":"https://openalex.org/W4401973904","doi":"https://doi.org/10.1177/01423312241266641"},"language":"en","primary_location":{"id":"doi:10.1177/01423312241266641","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312241266641","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061062890","display_name":"Hongzhou Zheng","orcid":"https://orcid.org/0009-0001-1733-4061"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhou Zheng","raw_affiliation_strings":["Department of System Science, University of Shanghai for Science and Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-1733-4061","affiliations":[{"raw_affiliation_string":"Department of System Science, University of Shanghai for Science and Technology, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009152185","display_name":"Fei Meng","orcid":"https://orcid.org/0000-0003-0919-6399"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Meng","raw_affiliation_strings":["Department of System Science, University of Shanghai for Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-0919-6399","affiliations":[{"raw_affiliation_string":"Department of System Science, University of Shanghai for Science and Technology, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100379058","display_name":"Haiying Wang","orcid":"https://orcid.org/0000-0001-8358-9065"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiying Wang","raw_affiliation_strings":["Department of System Science, University of Shanghai for Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of System Science, University of Shanghai for Science and Technology, China","institution_ids":["https://openalex.org/I148128674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009152185"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":null,"apc_paid":null,"fwci":0.1731,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47615586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"47","issue":"8","first_page":"1651","last_page":"1661"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.521220326423645},{"id":"https://openalex.org/keywords/ultra-wideband","display_name":"Ultra-wideband","score":0.4669664204120636},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46485722064971924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3416176736354828},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.223410964012146},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1956680417060852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.521220326423645},{"id":"https://openalex.org/C21916231","wikidata":"https://www.wikidata.org/wiki/Q851424","display_name":"Ultra-wideband","level":2,"score":0.4669664204120636},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46485722064971924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3416176736354828},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.223410964012146},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1956680417060852}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/01423312241266641","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312241266641","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2060653311","https://openalex.org/W2090627840","https://openalex.org/W2139179732","https://openalex.org/W2162718622","https://openalex.org/W2593390416","https://openalex.org/W2612690371","https://openalex.org/W2796137927","https://openalex.org/W2802836807","https://openalex.org/W2907492528","https://openalex.org/W2964655282","https://openalex.org/W2985331920","https://openalex.org/W2994638362","https://openalex.org/W3000004788","https://openalex.org/W3011291128","https://openalex.org/W3022013625","https://openalex.org/W3035025758","https://openalex.org/W3042710080","https://openalex.org/W3044015199","https://openalex.org/W3106678532","https://openalex.org/W3110138945","https://openalex.org/W3126380805","https://openalex.org/W3126771108","https://openalex.org/W3129694821","https://openalex.org/W3152893301","https://openalex.org/W3165528186","https://openalex.org/W4214841623","https://openalex.org/W4214948608","https://openalex.org/W4221167175","https://openalex.org/W4226165900","https://openalex.org/W4231887836","https://openalex.org/W4281733811","https://openalex.org/W4285144169","https://openalex.org/W4295678524","https://openalex.org/W4310014471","https://openalex.org/W4312939894","https://openalex.org/W4362641369","https://openalex.org/W6754929296"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Ultra-wideband":[0],"technology":[1],"is":[2,40],"recognized":[3],"as":[4],"a":[5],"low-cost":[6],"and":[7,46,70,94,109,145,164],"interference-resistant":[8],"method":[9,58,66,152],"for":[10,15],"indoor":[11,36,100,118],"vehicle":[12,101,119],"localization,":[13],"crucial":[14,82],"advancing":[16],"intelligent":[17],"transportation":[18],"systems.":[19],"Within":[20],"this":[21,53],"domain,":[22],"the":[23,33,60,89,114,125,133,150],"time":[24],"difference":[25],"of":[26,35,91],"arrival":[27],"algorithm":[28,140],"finds":[29],"extensive":[30],"application.":[31],"However,":[32],"accuracy":[34,122],"three-dimensional":[37],"(3D)":[38],"localization":[39,51,121],"significantly":[41],"affected":[42],"by":[43,124],"multipath":[44,92],"propagation":[45,93],"non-line-of-sight":[47,95,110,170],"deviations.":[48],"To":[49],"improve":[50],"accuracy,":[52],"study":[54],"proposes":[55],"an":[56],"innovative":[57],"utilizing":[59],"graph":[61,127],"attention":[62,72,128],"network":[63],"framework.":[64],"This":[65],"extracts":[67],"relevant":[68],"features":[69],"employs":[71],"mechanisms":[73],"to":[74,132,159,167],"differentially":[75],"weight":[76],"individual":[77],"nodes;":[78],"it":[79],"adeptly":[80],"captures":[81],"spatial":[83],"relationships":[84],"among":[85],"nodes,":[86],"thereby":[87],"mitigating":[88],"effects":[90],"deviations,":[96],"ultimately":[97],"achieving":[98],"finer":[99],"localization.":[102],"Experimental":[103],"results":[104],"from":[105,157,165],"tests":[106],"on":[107],"line-of-sight":[108,162],"data":[111],"sets":[112],"illustrate":[113],"significant":[115],"improvement":[116],"in":[117,141,161,169],"3D":[120],"afforded":[123],"proposed":[126,151],"network\u2013based":[129],"method.":[130],"Compared":[131],"commonly":[134],"used":[135],"built-in":[136],"error-state":[137],"Kalman":[138],"filter":[139],"commercial":[142],"ultra-wideband":[143],"applications":[144],"alternative":[146],"deep":[147],"learning":[148],"algorithms,":[149],"achieves":[153],"error":[154],"reductions":[155],"ranging":[156],"60.58%":[158],"84.16%":[160],"environments":[163],"65.59%":[166],"95.21%":[168],"environments.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}