{"id":"https://openalex.org/W4410790589","doi":"https://doi.org/10.1007/s44163-025-00321-w","title":"Optimized visual front-end navigation technology based on INS SLAM in smart tourism systems","display_name":"Optimized visual front-end navigation technology based on INS SLAM in smart tourism systems","publication_year":2025,"publication_date":"2025-05-27","ids":{"openalex":"https://openalex.org/W4410790589","doi":"https://doi.org/10.1007/s44163-025-00321-w"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00321-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00321-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00321-w.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00321-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113057246","display_name":"Cheng Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]},{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Pan","raw_affiliation_strings":["School of Management, Wuhan University of Technology, Wuhan, 430070, China","Scientific Research Office, Nanchang Vocational University, Nanchang, 330500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Wuhan University of Technology, Wuhan, 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Scientific Research Office, Nanchang Vocational University, Nanchang, 330500, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027755253","display_name":"Yuqing Liu","orcid":"https://orcid.org/0000-0001-6159-3514"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqing Liu","raw_affiliation_strings":["School of Economics and Management, Nanchang Vocational University, Nanchang, 330500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Nanchang Vocational University, Nanchang, 330500, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101349111","display_name":"Meijiao Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Meijiao Sun","raw_affiliation_strings":["School of Economics and Management, Nanchang Vocational University, Nanchang, 330500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Nanchang Vocational University, Nanchang, 330500, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101349111"],"corresponding_institution_ids":[],"apc_list":{"value":1340,"currency":"USD","value_usd":1340},"apc_paid":{"value":1340,"currency":"USD","value_usd":1340},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12829462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.988099992275238,"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/T10888","display_name":"Augmented Reality Applications","score":0.9628000259399414,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/front-and-back-ends","display_name":"Front and back ends","score":0.6062371134757996},{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.5670302510261536},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.5265144109725952},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5114716291427612},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43315401673316956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.421853244304657},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.41843581199645996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4120733141899109},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.32788097858428955},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2515101730823517},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.11849629878997803},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08696550130844116}],"concepts":[{"id":"https://openalex.org/C53016008","wikidata":"https://www.wikidata.org/wiki/Q620167","display_name":"Front and back ends","level":2,"score":0.6062371134757996},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.5670302510261536},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.5265144109725952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5114716291427612},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43315401673316956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.421853244304657},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.41843581199645996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4120733141899109},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32788097858428955},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2515101730823517},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.11849629878997803},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08696550130844116},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00321-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00321-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00321-w.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4de3f646109d44abb3bef318003d8448","is_oa":true,"landing_page_url":"https://doaj.org/article/4de3f646109d44abb3bef318003d8448","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-13 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00321-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00321-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00321-w.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410790589.pdf","grobid_xml":"https://content.openalex.org/works/W4410790589.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W3001529749","https://openalex.org/W3005881695","https://openalex.org/W3007872076","https://openalex.org/W3013440350","https://openalex.org/W3024749256","https://openalex.org/W3024965910","https://openalex.org/W3157504284","https://openalex.org/W3178562490","https://openalex.org/W3200248451","https://openalex.org/W4210366144","https://openalex.org/W4212992767","https://openalex.org/W4221046797","https://openalex.org/W4312818160","https://openalex.org/W4313460428","https://openalex.org/W4313491043","https://openalex.org/W4361026450","https://openalex.org/W4379800406"],"related_works":["https://openalex.org/W2074777875","https://openalex.org/W2391061603","https://openalex.org/W2386798499","https://openalex.org/W4388017739","https://openalex.org/W2352379149","https://openalex.org/W3216130691","https://openalex.org/W2369032308","https://openalex.org/W2977338326","https://openalex.org/W2376872419","https://openalex.org/W3157133093"],"abstract_inverted_index":{"To":[0,47],"cater":[1],"to":[2,86],"the":[3,7,18,27,41,49,59,97,100,104,114,133,142,150,156,159],"development":[4],"market":[5],"of":[6,21,55,113],"tourism":[8,175],"industry,":[9],"smart":[10,174],"travel":[11],"systems":[12],"have":[13],"been":[14],"explored.":[15],"Aiming":[16],"at":[17],"optimization":[19,30,139,146,152,169],"problem":[20],"navigation":[22,64,144,161],"and":[23,36,53,70,77,91,108,120,129,137,141,162,170],"positioning":[24,57,94,163],"accuracy":[25,112],"in":[26,58,88,155],"system,":[28,61],"an":[29,62],"model":[31,116,140,153],"based":[32],"on":[33,126],"simultaneous":[34,135],"localization":[35,136],"mapping":[37,138],"is":[38,66],"proposed.":[39],"Then,":[40],"research":[42,115],"designs":[43],"its":[44],"basic":[45],"system.":[46],"address":[48],"strict":[50],"lighting":[51],"requirements":[52],"lack":[54],"global":[56,81],"initial":[60],"inertial":[63,143],"system":[65,145],"introduced":[67],"for":[68,173],"optimization,":[69],"drift":[71],"problems":[72],"are":[73,84],"solved":[74],"through":[75],"pre-integration":[76],"other":[78],"strategies.":[79],"Finally,":[80],"filtering":[82],"sensors":[83],"used":[85],"assist":[87],"scale":[89],"observation":[90],"further":[92],"improve":[93],"accuracy.":[95],"In":[96,148],"experimental":[98],"analysis,":[99],"results":[101],"showed":[102],"that":[103],"absolute":[105],"trajectory":[106],"error":[107,111],"relative":[109],"pose":[110],"reached":[117],"0.81":[118],"m":[119],"0.012":[121],"m/s,":[122],"respectively.":[123],"This":[124],"was":[125],"average":[127],"29.01%":[128],"8.62%":[130],"higher":[131],"than":[132],"meta":[134],"model.":[147],"summary,":[149],"composite":[151],"designed":[154],"study":[157],"has":[158],"best":[160],"effect.":[164],"It":[165],"can":[166],"provide":[167],"certain":[168],"reference":[171],"significance":[172],"systems.":[176]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
