{"id":"https://openalex.org/W4415047676","doi":"https://doi.org/10.1109/tii.2025.3609146","title":"VI_MCPR: Viewpoint Invariant Place Recognition Driven by Multicamera for Large-Scale Environments","display_name":"VI_MCPR: Viewpoint Invariant Place Recognition Driven by Multicamera for Large-Scale Environments","publication_year":2025,"publication_date":"2025-10-10","ids":{"openalex":"https://openalex.org/W4415047676","doi":"https://doi.org/10.1109/tii.2025.3609146"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3609146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3609146","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","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/A5014857348","display_name":"K. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyi Wang","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-9876-6005","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699659","display_name":"Xu Li","orcid":"https://orcid.org/0000-0003-2772-7114"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Li","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2772-7114","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088520478","display_name":"Qimin Xu","orcid":"https://orcid.org/0000-0002-7159-8666"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qimin Xu","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7159-8666","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057379701","display_name":"Dong Kong","orcid":"https://orcid.org/0000-0002-1864-423X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Kong","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1864-423X","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23611521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"2","first_page":"717","last_page":"728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9972000122070312,"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":0.9972000122070312,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.991100013256073,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9799000024795532,"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/discriminative-model","display_name":"Discriminative model","score":0.7678999900817871},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6822999715805054},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6547999978065491},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5864999890327454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5070000290870667},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.44929999113082886},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4431999921798706},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42410001158714294}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7678999900817871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7245000004768372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193999886512756},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6822999715805054},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6547999978065491},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5864999890327454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5407999753952026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5070000290870667},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.44929999113082886},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42410001158714294},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.42170000076293945},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.3061999976634979},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.26030001044273376},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2572000026702881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3609146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3609146","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3595708859","display_name":null,"funder_award_id":"BE2022053-5","funder_id":"https://openalex.org/F4320327777","funder_display_name":"Jiangsu Provincial Key Research and Development Program"},{"id":"https://openalex.org/G5368364131","display_name":null,"funder_award_id":"62473099","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327777","display_name":"Jiangsu Provincial Key Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1989484209","https://openalex.org/W2108598243","https://openalex.org/W2951019013","https://openalex.org/W2963420686","https://openalex.org/W2963708168","https://openalex.org/W2986519585","https://openalex.org/W2990045899","https://openalex.org/W2995140162","https://openalex.org/W2997164612","https://openalex.org/W2998702515","https://openalex.org/W3017802077","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W3039808820","https://openalex.org/W3131783669","https://openalex.org/W3173736705","https://openalex.org/W4225847449","https://openalex.org/W4285102256","https://openalex.org/W4285147600","https://openalex.org/W4386066001","https://openalex.org/W4388692155","https://openalex.org/W4390204107","https://openalex.org/W4390873443","https://openalex.org/W4390970341","https://openalex.org/W4392093365","https://openalex.org/W4394874554","https://openalex.org/W4408780442"],"related_works":[],"abstract_inverted_index":{"Place":[0],"recognition":[1,29],"(PR)":[2],"is":[3,38,94],"a":[4,62,76,118,127,145],"critical":[5],"component":[6],"of":[7,15,45,71,111,142],"simultaneous":[8],"localization":[9],"and":[10,18,23,102,129,162,195,208],"mapping":[11],"in":[12,144,192,199],"the":[13,56,109,123,139,149,157,174],"fields":[14],"autonomous":[16],"driving":[17],"robotics.":[19],"In":[20],"outdoor":[21],"large-scale":[22],"complex":[24],"environments,":[25,194],"existing":[26],"vision-based":[27],"place":[28],"(VPR)":[30],"methods":[31],"typically":[32],"rely":[33],"on":[34,156],"single-camera":[35],"input,":[36],"which":[37,137],"inherently":[39],"limited":[40],"by":[41,183,189,196],"its":[42],"restricted":[43],"field":[44],"view":[46],"and,":[47],"thus,":[48],"vulnerable":[49],"to":[50,81,97,148,173],"viewpoint":[51,187],"variations.":[52],"To":[53,116],"effectively":[54,107],"fill":[55],"aforementioned":[57],"drawbacks,":[58],"we":[59,125],"propose":[60],"VI_MCPR,":[61],"novel":[63],"method":[64,74],"that":[65,166],"supports":[66],"input":[67],"from":[68,85],"any":[69],"number":[70],"cameras.":[72],"This":[73],"utilizes":[75],"multibranch,":[77],"weight-sharing":[78],"encoder":[79],"structure":[80],"encode":[82],"image":[83],"features":[84,101,113],"multiperspective":[86],"simultaneously.":[87],"The":[88],"robust":[89],"feature":[90],"attention":[91],"pooling":[92],"block":[93],"then":[95],"utilized":[96],"learn":[98],"high-order":[99],"nonlinear":[100],"latent":[103],"correlations":[104],"between":[105],"features,":[106],"mitigating":[108],"loss":[110],"key":[112],"during":[114],"down-sampling.":[115],"generate":[117],"discriminative":[119],"global":[120],"descriptor":[121],"representing":[122],"image,":[124],"designed":[126],"geometry":[128],"spatial":[130],"relationship":[131],"enhanced":[132],"block,":[133],"named":[134],"graph-SE-transform":[135],"(GSET),":[136],"captures":[138],"overall":[140],"shape":[141],"objects":[143],"manner":[146],"similar":[147],"human":[150],"visual":[151],"system.":[152],"Extensive":[153],"comparative":[154],"experiments":[155],"NuScenes,":[158],"Argoverse":[159],"2":[160],"Sensors,":[161],"real-vehicle":[163],"datasets":[164],"demonstrate":[165],"VI_MCPR":[167],"outperforms":[168],"state-of-the-art":[169],"VPR":[170],"methods.":[171],"Compared":[172],"strongest":[175],"representative":[176],"baselines,":[177],"our":[178],"approach":[179],"increases":[180],"PR":[181],"performance":[182],"approximately":[184,190,197],"6%":[185,191],"under":[186],"variations,":[188],"dynamic":[193],"8%":[198],"extreme":[200],"scenarios":[201],"such":[202],"as":[203],"adverse":[204],"weather,":[205],"illumination":[206],"changes,":[207],"low-texture":[209],"conditions.":[210]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-11T00:00:00"}
