{"id":"https://openalex.org/W2936931625","doi":"https://doi.org/10.1109/vtcfall.2018.8690714","title":"RSSI-Based Ranging for Pedestrian Localization","display_name":"RSSI-Based Ranging for Pedestrian Localization","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2936931625","doi":"https://doi.org/10.1109/vtcfall.2018.8690714","mag":"2936931625"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2018.8690714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","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/A5067291340","display_name":"Mehdi Golestanian","orcid":"https://orcid.org/0000-0001-8812-8292"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehdi Golestanian","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103149074","display_name":"Hongsheng Lu","orcid":"https://orcid.org/0000-0001-9916-1899"},"institutions":[{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hongsheng Lu","raw_affiliation_strings":["Toyota InfoTechnology Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota InfoTechnology Center","institution_ids":["https://openalex.org/I1293612202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019362963","display_name":"Christian Poellabauer","orcid":"https://orcid.org/0000-0002-0599-7941"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christian Poellabauer","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018305994","display_name":"John B. Kenney","orcid":"https://orcid.org/0009-0002-0112-6716"},"institutions":[{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"John Kenney","raw_affiliation_strings":["Toyota InfoTechnology Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota InfoTechnology Center","institution_ids":["https://openalex.org/I1293612202"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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":0.9962999820709229,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/ranging","display_name":"Ranging","score":0.9009028673171997},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7938436269760132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6417151093482971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37487226724624634},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.332538366317749},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.17896875739097595},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15690547227859497},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13242799043655396}],"concepts":[{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.9009028673171997},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7938436269760132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417151093482971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37487226724624634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.332538366317749},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17896875739097595},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15690547227859497},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13242799043655396}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vtcfall.2018.8690714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"},{"id":"mag:3043522955","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902235067046133","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1557326683","https://openalex.org/W1989137771","https://openalex.org/W2032246180","https://openalex.org/W2077428818","https://openalex.org/W2143391734","https://openalex.org/W2341433667","https://openalex.org/W2546053121","https://openalex.org/W2613190076","https://openalex.org/W2765476103","https://openalex.org/W3101018627","https://openalex.org/W3101480813","https://openalex.org/W4231074592"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2170022336"],"abstract_inverted_index":{"Pedestrians":[0],"are":[1],"particularly":[2],"vulnerable":[3,28],"traffic":[4,29],"participants":[5,30],"with":[6],"a":[7,103,110],"very":[8],"high":[9,84],"fatality":[10],"rate.":[11],"An":[12],"important":[13],"component":[14],"of":[15,24,47,51,55,74,93,118,164,177],"Advanced":[16],"Driver":[17],"Assistant":[18],"Systems":[19],"is":[20,43,80,169],"the":[21,48,58,72,116,137,140,145,151,156,165],"accurate":[22],"localization":[23],"pedestrians":[25],"and":[26,34,57,68,87,95,121,144,160,179],"other":[27,35],"using":[31,38,171],"various":[32],"sensors":[33],"technologies.":[36],"Localization":[37],"radio":[39],"frequency":[40],"(RF)":[41],"signals":[42],"commonly":[44],"used,":[45],"because":[46],"widespread":[49],"availability":[50],"wireless":[52],"radios,":[53],"ease":[54],"deployment,":[56],"fact":[59],"that":[60,107,114,135],"RF-based":[61,75],"ranging":[62,76,105,167],"will":[63],"work":[64],"in":[65,77,175],"all":[66],"weather":[67],"light":[69],"conditions.":[70],"However,":[71],"accuracy":[73,178],"vehicular":[78],"networks":[79],"easily":[81],"affected":[82],"by":[83],"device":[85],"dynamics":[86],"mobility,":[88],"leading":[89],"to":[90,130,154],"varying":[91],"impacts":[92],"shadowing":[94],"multipath":[96],"fading.":[97],"In":[98],"this":[99],"paper,":[100],"we":[101,124],"introduce":[102],"new":[104],"algorithm":[106,168],"first":[108],"uses":[109],"novel":[111],"filtering":[112],"scheme":[113],"reduces":[115],"impact":[117],"mutipath":[119],"fading":[120],"shadowing.":[122],"Then,":[123],"use":[125],"an":[126,132],"exhaustive":[127],"search":[128],"method":[129],"minimize":[131],"MSE":[133],"function":[134],"represents":[136],"difference":[138],"between":[139,158],"filtered":[141],"RSSI":[142,147],"values":[143,148],"expected":[146],"(based":[149],"on":[150],"channel":[152],"model)":[153],"estimate":[155],"distance":[157],"transmitter":[159],"receiver.":[161],"The":[162],"performance":[163],"proposed":[166],"evaluated":[170],"real":[172],"field":[173],"measurements":[174],"terms":[176],"convergence":[180],"time.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}