{"id":"https://openalex.org/W4317384073","doi":"https://doi.org/10.1109/robio55434.2022.10011836","title":"Indoor Scene Recognition of Mobile Robot Based on Multi-view Fusion","display_name":"Indoor Scene Recognition of Mobile Robot Based on Multi-view Fusion","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4317384073","doi":"https://doi.org/10.1109/robio55434.2022.10011836"},"language":"en","primary_location":{"id":"doi:10.1109/robio55434.2022.10011836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio55434.2022.10011836","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-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/A5041561320","display_name":"Zihao Yuan","orcid":"https://orcid.org/0000-0003-2403-7011"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihao Yuan","raw_affiliation_strings":["College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105"],"affiliations":[{"raw_affiliation_string":"College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657432","display_name":"Dongbo Zhang","orcid":"https://orcid.org/0000-0003-3776-3426"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongbo Zhang","raw_affiliation_strings":["College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105"],"affiliations":[{"raw_affiliation_string":"College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386104","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-2674-1638"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105"],"affiliations":[{"raw_affiliation_string":"College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008802390","display_name":"Jiajun Tang","orcid":"https://orcid.org/0000-0002-0254-9764"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Tang","raw_affiliation_strings":["College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105"],"affiliations":[{"raw_affiliation_string":"College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016864822","display_name":"Zhong Wang","orcid":"https://orcid.org/0000-0002-3440-2257"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Wang","raw_affiliation_strings":["College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105"],"affiliations":[{"raw_affiliation_string":"College of Automation and Electronic Information, Xiangtan University,Xiangtan,China,411105","institution_ids":["https://openalex.org/I4610292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041561320"],"corresponding_institution_ids":["https://openalex.org/I4610292"],"apc_list":null,"apc_paid":null,"fwci":0.06,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34828176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9975000023841858,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9965000152587891,"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/robustness","display_name":"Robustness (evolution)","score":0.819098949432373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8109152317047119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7645359039306641},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6702873706817627},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6611404418945312},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5313974618911743},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.47416889667510986},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.45806485414505005},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41946935653686523},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4191368520259857}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.819098949432373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8109152317047119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7645359039306641},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6702873706817627},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6611404418945312},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5313974618911743},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.47416889667510986},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.45806485414505005},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41946935653686523},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4191368520259857},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio55434.2022.10011836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio55434.2022.10011836","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G132972071","display_name":null,"funder_award_id":"U19A2083","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2475223347","https://openalex.org/W2527800741","https://openalex.org/W2732026016","https://openalex.org/W2809273606","https://openalex.org/W3003919821","https://openalex.org/W3104752576"],"related_works":["https://openalex.org/W1508899372","https://openalex.org/W3034529322","https://openalex.org/W2012658348","https://openalex.org/W2039460805","https://openalex.org/W4250956039","https://openalex.org/W2770593030","https://openalex.org/W2115913271","https://openalex.org/W2113597336","https://openalex.org/W4240485100","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Achieving":[0],"robust":[1],"and":[2,22,55,87,108,153],"accurate":[3],"positioning":[4],"in":[5,16,57,90,191],"an":[6,13,26,63],"unknown":[7],"place":[8],"without":[9],"a":[10,102,115],"map":[11],"is":[12,25,94,174],"important":[14],"problem":[15],"the":[17,37,49,58,73,79,82,98,106,110,122,131,134,139,146,151,157,167,170,179,186,189,199,203],"field":[18],"of":[19,75,84,105,112,124,133,169,202],"mobile":[20,38,99],"robotics,":[21],"scene":[23,65,125,142,160,182],"recognition":[24,66,161,183],"effective":[27],"way":[28,50],"to":[29,35,41,96,129,178,198],"solve":[30],"this":[31,60,192],"problem.":[32],"In":[33,127],"order":[34,128],"improve":[36],"robot's":[39],"ability":[40],"recognize":[42],"indoor":[43,64],"scenes":[44],"at":[45],"home,":[46],"inspired":[47],"by":[48],"that":[51],"humans":[52],"look":[53],"around":[54],"observe":[56],"scene,":[59,107],"paper":[61,193],"proposes":[62],"model":[67,80,190],"based":[68],"on":[69,145],"multi-view":[70,76,141],"fusion.":[71],"With":[72],"help":[74],"learning":[77],"theory,":[78],"realizes":[81],"extraction":[83],"complementary":[85],"information":[86,89],"consistent":[88],"different":[91],"views,":[92],"which":[93],"conducive":[95],"making":[97],"robot":[100],"have":[101,137,149],"comprehensive":[103],"observation":[104],"overcome":[109],"deficiency":[111],"observing":[113],"from":[114],"single":[116],"angle.":[117],"This":[118],"work":[119],"greatly":[120,175],"improves":[121],"robustness":[123,197],"recognition.":[126],"verify":[130],"performance":[132],"model,":[135],"we":[136,148],"collected":[138],"corresponding":[140],"datasets.":[143],"Based":[144],"datasets,":[147],"trained":[150],"models":[152],"compared":[154,177],"it":[155],"with":[156],"current":[158],"state-of-the-art":[159],"models.":[162],"The":[163,172],"experimental":[164],"results":[165],"verified":[166],"effectiveness":[168],"model.":[171],"accuracy":[173],"improved":[176],"traditional":[180],"single-view":[181],"network.":[184],"At":[185],"same":[187],"time,":[188],"also":[194],"shows":[195],"good":[196],"visual":[200],"dislocation":[201],"scene.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}