{"id":"https://openalex.org/W2904472549","doi":"https://doi.org/10.1109/icspcc.2018.8567795","title":"Object-based Indoor Localization using Region-based Convolutional Neural Networks","display_name":"Object-based Indoor Localization using Region-based Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2904472549","doi":"https://doi.org/10.1109/icspcc.2018.8567795","mag":"2904472549"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc.2018.8567795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2018.8567795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5002488050","display_name":"Chenning Li","orcid":"https://orcid.org/0000-0002-6279-7911"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li Chenning","raw_affiliation_strings":["Xi\u2019an Guide Technology Co., Ltd, Xi\u2019An, China","Xi'an Guide Technology Co., Ltd, Xi'An, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Guide Technology Co., Ltd, Xi\u2019An, China","institution_ids":[]},{"raw_affiliation_string":"Xi'an Guide Technology Co., Ltd, Xi'An, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019731119","display_name":"Ting Yang","orcid":"https://orcid.org/0000-0002-4511-2546"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Ting","raw_affiliation_strings":["Xi\u2019an Guide Technology Co., Ltd, Xi\u2019An, China","Xi'an Guide Technology Co., Ltd, Xi'An, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Guide Technology Co., Ltd, Xi\u2019An, China","institution_ids":[]},{"raw_affiliation_string":"Xi'an Guide Technology Co., Ltd, Xi'An, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114378267","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-9205-1881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang Qian","raw_affiliation_strings":["Xi\u2019an Guide Technology Co., Ltd, Xi\u2019An, China","Xi'an Guide Technology Co., Ltd, Xi'An, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Guide Technology Co., Ltd, Xi\u2019An, China","institution_ids":[]},{"raw_affiliation_string":"Xi'an Guide Technology Co., Ltd, Xi'An, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100581791","display_name":"Haowei Xu","orcid":"https://orcid.org/0009-0001-3780-8682"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Haowei","raw_affiliation_strings":["Northwestern Polytechnical University, Xi\u2019An, China","Northwestern Polytechnical University, Xi'An, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi\u2019An, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'An, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002488050"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2575,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58937213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"95","issue":null,"first_page":"1","last_page":"6"},"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":0.9988999962806702,"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":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.8007853031158447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7890821695327759},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7015331983566284},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6663519740104675},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5485312938690186},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5379467606544495},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5187144875526428},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48054105043411255},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4750411808490753},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.4542671740055084},{"id":"https://openalex.org/keywords/standard-test-image","display_name":"Standard test image","score":0.45252835750579834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4447854459285736},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.43137574195861816},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2653287351131439},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10761776566505432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8007853031158447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7890821695327759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7015331983566284},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6663519740104675},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5485312938690186},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5379467606544495},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5187144875526428},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48054105043411255},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4750411808490753},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.4542671740055084},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.45252835750579834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4447854459285736},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.43137574195861816},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2653287351131439},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10761776566505432},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc.2018.8567795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc.2018.8567795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2037050532","https://openalex.org/W2068639600","https://openalex.org/W2070027626","https://openalex.org/W2102605133","https://openalex.org/W2107034620","https://openalex.org/W2121800725","https://openalex.org/W2142010396","https://openalex.org/W2618879314","https://openalex.org/W2734009141","https://openalex.org/W4301409532","https://openalex.org/W6620707391","https://openalex.org/W6740529213"],"related_works":["https://openalex.org/W2944823289","https://openalex.org/W3037018281","https://openalex.org/W2003209439","https://openalex.org/W2358319515","https://openalex.org/W2964954556","https://openalex.org/W2313528501","https://openalex.org/W3139415289","https://openalex.org/W3047174922","https://openalex.org/W2713063468","https://openalex.org/W2904559969"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"a":[3,25,42,51,89,97,113,128],"novel":[4],"method":[5,116,181],"that":[6],"utilizes":[7],"Region-based":[8],"Convolution":[9],"Neural":[10],"Network":[11],"(R-CNN)":[12],"for":[13,157],"identifying":[14],"objects":[15,62,84,94,139,186],"in":[16,63,85,96,132,142,187],"an":[17,38],"image,":[18,39],"and":[19,54,155,190],"then,":[20],"localizes":[21],"the":[22,34,48,61,64,67,70,73,79,83,86,93,110,121,126,148,153,171,174,185,188],"image":[23,74,87],"using":[24],"pre-stored":[26],"map":[27],"of":[28,72,82,92,173,184],"these":[29],"objects.":[30],"The":[31,176],"algorithm":[32],"follows":[33],"next":[35],"steps.":[36],"First,":[37],"taken":[40,145],"by":[41],"smart":[43],"phone,":[44],"is":[45,75,117,130],"uploaded":[46],"to":[47,59,78,119,151,169],"server,":[49],"where":[50],"pre-trained":[52],"R-CNN":[53,154],"template":[55,158],"images":[56],"are":[57,107],"combined":[58],"identify":[60],"image.":[65],"In":[66],"second":[68],"step,":[69,112],"location":[71,95,105],"derived":[76],"according":[77],"spatial":[80],"relationships":[81],"with":[88,163,195],"prior":[90],"knowledge":[91],"digital":[98],"map.":[99],"Finally,":[100],"if":[101],"more":[102],"than":[103],"one":[104],"solutions":[106],"obtained":[108],"from":[109],"previous":[111],"range-based":[114],"localization":[115,180],"utilized":[118,168],"eliminate":[120],"wrong":[122],"results.":[123],"To":[124],"prove":[125],"concept,":[127],"test":[129,149],"conducted":[131],"typical":[133],"yet":[134],"challenging":[135],"indoor":[136,179],"environment.":[137],"Selected":[138],"were":[140,167],"labeled":[141],"600":[143],"images,":[144,162,189],"randomly":[146],"around":[147],"environment,":[150],"train":[152],"used":[156],"matching.":[159],"Another":[160],"42":[161],"known":[164],"capture":[165],"locations,":[166],"assess":[170],"performance":[172],"method.":[175],"proposed":[177],"object-based":[178],"detected":[182],"81.7%":[183],"provided":[191],"59.5%":[192],"success":[193],"rate":[194],"1-5":[196],"m":[197],"accuracy.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}