{"id":"https://openalex.org/W4405787568","doi":"https://doi.org/10.1109/iros58592.2024.10801404","title":"Geolocation on Cartographic Maps with Multi-Modal Fusion","display_name":"Geolocation on Cartographic Maps with Multi-Modal Fusion","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405787568","doi":"https://doi.org/10.1109/iros58592.2024.10801404"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10801404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research-information.bris.ac.uk/files/463996805/ZHOU2024_IROS.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004425454","display_name":"Mengjie Zhou","orcid":"https://orcid.org/0000-0001-6054-5086"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mengjie Zhou","raw_affiliation_strings":["University of Bristol,UK"],"affiliations":[{"raw_affiliation_string":"University of Bristol,UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324261","display_name":"Liu Liu","orcid":"https://orcid.org/0000-0002-0275-5701"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Liu","raw_affiliation_strings":["Huawei KooMap Dept.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Huawei KooMap Dept.,Beijing,China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066621365","display_name":"Yiran Zhong","orcid":"https://orcid.org/0000-0003-1404-3610"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Zhong","raw_affiliation_strings":["Shanghai AI Lab,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai AI Lab,Shanghai,China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000976534","display_name":"Andrew Calway","orcid":null},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew Calway","raw_affiliation_strings":["University of Bristol,UK"],"affiliations":[{"raw_affiliation_string":"University of Bristol,UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004425454"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40943076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5589","last_page":"5596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13854","display_name":"Historical Geography and Cartography","score":0.9319000244140625,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13854","display_name":"Historical Geography and Cartography","score":0.9319000244140625,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9318000078201294,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geolocation","display_name":"Geolocation","score":0.9096565246582031},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6341920495033264},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6080363988876343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5758318901062012},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.4730740487575531},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45846614241600037},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42951512336730957},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.38101017475128174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36913561820983887},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.34362882375717163},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12295466661453247}],"concepts":[{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.9096565246582031},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6341920495033264},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6080363988876343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5758318901062012},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.4730740487575531},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45846614241600037},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42951512336730957},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.38101017475128174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36913561820983887},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.34362882375717163},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12295466661453247},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iros58592.2024.10801404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/eac8c83d-dbd2-490e-be84-a76922e112f6","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/eac8c83d-dbd2-490e-be84-a76922e112f6","pdf_url":"https://research-information.bris.ac.uk/files/463996805/ZHOU2024_IROS.pdf","source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhou, M, Liu, L, Zhong, Y & Calway, A 2024, Geolocation on Cartographic Maps with Multi-Modal Fusion. in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Institute of Electrical and Electronics Engineers (IEEE), pp. 5589-5596. https://doi.org/10.1109/IROS58592.2024.10801404","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/eac8c83d-dbd2-490e-be84-a76922e112f6","is_oa":true,"landing_page_url":"https://hdl.handle.net/1983/eac8c83d-dbd2-490e-be84-a76922e112f6","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhou, M, Liu, L, Zhong, Y & Calway, A 2024, Geolocation on Cartographic Maps with Multi-Modal Fusion. in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Institute of Electrical and Electronics Engineers (IEEE), pp. 5589-5596. https://doi.org/10.1109/IROS58592.2024.10801404","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/eac8c83d-dbd2-490e-be84-a76922e112f6","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/eac8c83d-dbd2-490e-be84-a76922e112f6","pdf_url":"https://research-information.bris.ac.uk/files/463996805/ZHOU2024_IROS.pdf","source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhou, M, Liu, L, Zhong, Y & Calway, A 2024, Geolocation on Cartographic Maps with Multi-Modal Fusion. in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Institute of Electrical and Electronics Engineers (IEEE), pp. 5589-5596. https://doi.org/10.1109/IROS58592.2024.10801404","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405787568.pdf","grobid_xml":"https://content.openalex.org/works/W4405787568.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W2089344418","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2474696196","https://openalex.org/W2732026016","https://openalex.org/W2739269730","https://openalex.org/W2963474852","https://openalex.org/W2963483090","https://openalex.org/W2979750740","https://openalex.org/W3048117448","https://openalex.org/W3112506570","https://openalex.org/W3170030651","https://openalex.org/W3211077271","https://openalex.org/W4205839976","https://openalex.org/W4214755140","https://openalex.org/W4225986494","https://openalex.org/W4312317653","https://openalex.org/W4312707458","https://openalex.org/W4383066393","https://openalex.org/W4386057708","https://openalex.org/W6739778489","https://openalex.org/W6759754333","https://openalex.org/W6763422710","https://openalex.org/W6766729115","https://openalex.org/W6774314701","https://openalex.org/W6790545018","https://openalex.org/W6798749320"],"related_works":["https://openalex.org/W2163194970","https://openalex.org/W3105229732","https://openalex.org/W2799094075","https://openalex.org/W2892370851","https://openalex.org/W2187946387","https://openalex.org/W2052024186","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"We":[0,83],"explore":[1],"the":[2,14,23,35,80,116,147,179],"geolocation":[3,151,167,185],"problem,":[4],"aiming":[5],"to":[6,49,64,78,88,111,153,171],"localize":[7],"ground-view":[8],"images":[9,141],"on":[10,46],"cartographic":[11],"maps,":[12],"without":[13],"need":[15],"of":[16,40,70],"any":[17],"GPS":[18],"priors.":[19],"This":[20],"task":[21],"mimics":[22],"human":[24],"wayfinding":[25],"ability":[26],"and":[27,31,37,103,118,142,157,164,187],"offers":[28],"high":[29],"scalability":[30],"robustness":[32],"by":[33],"using":[34,121],"compact":[36],"semantic":[38],"representations":[39],"maps.":[41,143],"Current":[42],"methods":[43],"often":[44],"rely":[45],"2D":[47,102,117,192],"maps":[48,120],"encode":[50],"dense":[51],"contextual":[52],"information":[53,77],"for":[54,138],"ground-to-map":[55,62],"matching.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,96,145],"lift":[61],"matching":[63,81,139],"a":[65,85,98],"2.5D":[66,104,119],"space,":[67],"where":[68],"heights":[69],"structures":[71],"(e.g.":[72],"buildings)":[73],"provide":[74],"richer":[75],"geometric":[76,130],"guide":[79],"process.":[82],"propose":[84],"new":[86],"approach":[87],"learning":[89],"representative":[90],"embeddings":[91,137],"from":[92,115],"multi-modal":[93,113,150],"data.":[94],"Specifically,":[95],"establish":[97],"projection":[99,107],"relationship":[100],"between":[101],"space.":[105],"The":[106],"is":[108],"further":[109],"used":[110],"combine":[112],"features":[114],"an":[122],"effective":[123],"pixel-to-point":[124],"fusion":[125],"method.":[126,174],"By":[127],"encoding":[128],"crucial":[129],"cues,":[131],"our":[132,155,173],"method":[133,156,181],"learns":[134],"discriminative":[135],"location":[136],"panoramic":[140],"Additionally,":[144],"construct":[146],"first":[148],"large-scale":[149],"dataset":[152],"validate":[154],"facilitate":[158],"future":[159],"research.":[160],"Both":[161],"single-image":[162],"based":[163,166],"route":[165],"experiments":[168,176],"are":[169],"conducted":[170],"test":[172],"Extensive":[175],"demonstrate":[177],"that":[178],"proposed":[180],"achieves":[182],"significantly":[183],"higher":[184],"accuracy":[186],"faster":[188],"convergence":[189],"than":[190],"previous":[191],"map-based":[193],"approaches.":[194]},"counts_by_year":[],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}