{"id":"https://openalex.org/W3000551950","doi":"https://doi.org/10.1109/sensors43011.2019.8956924","title":"Pedestrian Localization on Topological Maps with Neural Machine Translation Network","display_name":"Pedestrian Localization on Topological Maps with Neural Machine Translation Network","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3000551950","doi":"https://doi.org/10.1109/sensors43011.2019.8956924","mag":"3000551950"},"language":"en","primary_location":{"id":"doi:10.1109/sensors43011.2019.8956924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors43011.2019.8956924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE SENSORS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102903367","display_name":"Jianli Wei","orcid":"https://orcid.org/0009-0002-3302-014X"},"institutions":[{"id":"https://openalex.org/I4210095190","display_name":"Photometrics (United States)","ror":"https://ror.org/00qnt7d66","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095190"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianli Wei","raw_affiliation_strings":["The Ohio State University,Photogrammetric Computer Vision Lab.,Columbus,OH,USA","Photogrammetric Computer Vision Lab., The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University,Photogrammetric Computer Vision Lab.,Columbus,OH,USA","institution_ids":["https://openalex.org/I4210095190"]},{"raw_affiliation_string":"Photogrammetric Computer Vision Lab., The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I4210095190","https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078730877","display_name":"M. Taha Koroglu","orcid":"https://orcid.org/0009-0002-9312-5365"},"institutions":[{"id":"https://openalex.org/I4210095190","display_name":"Photometrics (United States)","ror":"https://ror.org/00qnt7d66","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095190"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Taha Koroglu","raw_affiliation_strings":["The Ohio State University,Photogrammetric Computer Vision Lab.,Columbus,OH,USA","Photogrammetric Computer Vision Lab., The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University,Photogrammetric Computer Vision Lab.,Columbus,OH,USA","institution_ids":["https://openalex.org/I4210095190"]},{"raw_affiliation_string":"Photogrammetric Computer Vision Lab., The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I4210095190","https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112753768","display_name":"Bing Zha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095190","display_name":"Photometrics (United States)","ror":"https://ror.org/00qnt7d66","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095190"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing Zha","raw_affiliation_strings":["The Ohio State University,Photogrammetric Computer Vision Lab.,Columbus,OH,USA","Photogrammetric Computer Vision Lab., The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University,Photogrammetric Computer Vision Lab.,Columbus,OH,USA","institution_ids":["https://openalex.org/I4210095190"]},{"raw_affiliation_string":"Photogrammetric Computer Vision Lab., The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I4210095190","https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008672128","display_name":"Alper Y\u0131lmaz","orcid":"https://orcid.org/0000-0003-0755-2628"},"institutions":[{"id":"https://openalex.org/I4210095190","display_name":"Photometrics (United States)","ror":"https://ror.org/00qnt7d66","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095190"]},{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alper Yilmaz","raw_affiliation_strings":["The Ohio State University,Photogrammetric Computer Vision Lab.,Columbus,OH,USA","Photogrammetric Computer Vision Lab., The Ohio State University, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University,Photogrammetric Computer Vision Lab.,Columbus,OH,USA","institution_ids":["https://openalex.org/I4210095190"]},{"raw_affiliation_string":"Photogrammetric Computer Vision Lab., The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I4210095190","https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9987999796867371,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.676878809928894},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6695482134819031},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6287017464637756},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.6040860414505005},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5417531132698059},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.5203156471252441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5086744427680969},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4752499759197235},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43149060010910034},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4222247302532196},{"id":"https://openalex.org/keywords/dead-reckoning","display_name":"Dead reckoning","score":0.41874566674232483},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3509812355041504},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.3325878977775574},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3097187280654907},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.28007763624191284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15651476383209229}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.676878809928894},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6695482134819031},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6287017464637756},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.6040860414505005},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5417531132698059},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.5203156471252441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5086744427680969},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4752499759197235},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43149060010910034},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4222247302532196},{"id":"https://openalex.org/C106165642","wikidata":"https://www.wikidata.org/wiki/Q152255","display_name":"Dead reckoning","level":3,"score":0.41874566674232483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3509812355041504},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.3325878977775574},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3097187280654907},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.28007763624191284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15651476383209229},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensors43011.2019.8956924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors43011.2019.8956924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE SENSORS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W290129977","https://openalex.org/W1483811726","https://openalex.org/W1514900972","https://openalex.org/W1521056518","https://openalex.org/W1649579452","https://openalex.org/W1869752048","https://openalex.org/W1971903529","https://openalex.org/W1984754470","https://openalex.org/W1993793087","https://openalex.org/W1998828437","https://openalex.org/W2056427752","https://openalex.org/W2075459923","https://openalex.org/W2079251198","https://openalex.org/W2083821388","https://openalex.org/W2088061407","https://openalex.org/W2088803835","https://openalex.org/W2100989187","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2183633357","https://openalex.org/W2405485929","https://openalex.org/W2480859604","https://openalex.org/W2549219554","https://openalex.org/W2554461401","https://openalex.org/W2554508971","https://openalex.org/W2573766938","https://openalex.org/W2587585490","https://openalex.org/W2735753056","https://openalex.org/W2883735935","https://openalex.org/W2900709202","https://openalex.org/W2962812366","https://openalex.org/W2963069010","https://openalex.org/W2964308564","https://openalex.org/W3104620660","https://openalex.org/W6628744530","https://openalex.org/W6630675754","https://openalex.org/W6639082767","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6721887335"],"related_works":["https://openalex.org/W2331134302","https://openalex.org/W1572218428","https://openalex.org/W4385894109","https://openalex.org/W4389665464","https://openalex.org/W2105467265","https://openalex.org/W2098659692","https://openalex.org/W2141674674","https://openalex.org/W2990193004","https://openalex.org/W2765622807","https://openalex.org/W2131081105"],"abstract_inverted_index":{"Pedestrians":[0],"and":[1,31,102,116,152,169],"vehicles":[2],"tend":[3],"to":[4,46,53,89,132,155],"follow":[5],"certain":[6],"paths":[7],"even":[8],"in":[9,29,65,176],"the":[10,42,50,58,66,126,177,196],"case":[11],"of":[12,25,68,100,125,171,182],"no":[13],"road":[14],"or":[15],"walkable":[16],"path":[17],"is":[18,44,52,145,184],"prescribed.":[19],"This":[20,137],"fact":[21],"makes":[22],"topological":[23,160],"representation":[24],"maps":[26],"very":[27],"important":[28],"navigation":[30,83],"localization":[32,55,61,158],"applications.":[33],"When":[34],"infrastructure-based":[35],"systems":[36,72],"(e.g.,":[37,73],"GPS,":[38],"Wi-Fi)":[39],"are":[40,174],"available,":[41],"problem":[43,64],"referred":[45],"as":[47,108],"map-matching":[48],"where":[49],"goal":[51],"improve":[54],"accuracy.":[56],"On":[57],"other":[59],"hand,":[60],"becomes":[62],"a":[63,80,140],"lack":[67],"initialization":[69],"for":[70,148],"infrastructure-free":[71],"dead":[74],"reckoning":[75],"via":[76],"odometry).":[77],"For":[78],"example,":[79],"pedestrian":[81,157],"inertial":[82],"system":[84],"(INS)":[85],"can":[86],"be":[87],"used":[88],"generate":[90],"drift-prone":[91],"trajectories":[92],"that":[93,144],"would":[94],"perfectly":[95],"turn":[96],"into":[97],"graphs":[98],"(consisting":[99],"nodes":[101,173,194],"edges)":[103],"after":[104],"heuristic":[105,112],"corrections":[106],"such":[107],"zero-velocity":[109],"update":[110],"(ZUPT),":[111],"drift":[113],"reduction":[114],"(HDR)":[115],"motion":[117],"direction":[118],"aid":[119],"by":[120],"Earth's":[121],"magnetic":[122],"field.":[123],"Most":[124],"approaches":[127],"use":[128],"probabilistic":[129],"generative":[130],"methods":[131],"solve":[133],"sub-graph":[134],"traversal":[135],"problem.":[136],"research":[138],"adopts":[139],"neural":[141],"network":[142],"structure":[143],"originally":[146],"designed":[147],"language":[149],"translation":[150],"purposes":[151],"modifies":[153],"it":[154],"achieve":[156],"on":[159,195],"maps.":[161],"Different":[162],"feature":[163,188],"combinations":[164],"(angle":[165],"vs.":[166],"edge":[167],"length)":[168],"number":[170],"traversed":[172],"tested":[175],"experiments.":[178],"A":[179],"minimum":[180],"accuracy":[181],"95%":[183],"achieved":[185],"with":[186],"all":[187],"configurations":[189],"while":[190],"traversing":[191],"only":[192],"six":[193],"map.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
