{"id":"https://openalex.org/W4391216058","doi":"https://doi.org/10.1109/tits.2024.3352820","title":"Optimized Wireless Sensing and Deep Learning for Enhanced Human-Vehicle Recognition","display_name":"Optimized Wireless Sensing and Deep Learning for Enhanced Human-Vehicle Recognition","publication_year":2024,"publication_date":"2024-01-25","ids":{"openalex":"https://openalex.org/W4391216058","doi":"https://doi.org/10.1109/tits.2024.3352820"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3352820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3352820","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5059937880","display_name":"Liangliang Lou","orcid":"https://orcid.org/0000-0002-4066-363X"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangliang Lou","raw_affiliation_strings":["Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-4066-363X","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058655191","display_name":"Mingxin Song","orcid":"https://orcid.org/0000-0002-0177-4150"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxin Song","raw_affiliation_strings":["Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China","School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0177-4150","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China","institution_ids":["https://openalex.org/I82760581"]},{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101950870","display_name":"Xinquan Chen","orcid":"https://orcid.org/0000-0002-9312-6598"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinquan Chen","raw_affiliation_strings":["Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China","School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9312-6598","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China","institution_ids":["https://openalex.org/I82760581"]},{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021523224","display_name":"Xiaoming Zhao","orcid":"https://orcid.org/0000-0002-4708-4171"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Zhao","raw_affiliation_strings":["Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-4708-4171","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101891025","display_name":"Shiqing Zhang","orcid":"https://orcid.org/0000-0001-8184-5088"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqing Zhang","raw_affiliation_strings":["Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0001-8184-5088","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Information Processing, Taizhou University, Taizhou, Zhejiang, China","institution_ids":["https://openalex.org/I82760581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059937880"],"corresponding_institution_ids":["https://openalex.org/I82760581"],"apc_list":null,"apc_paid":null,"fwci":1.3689,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79801043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"25","issue":"7","first_page":"7508","last_page":"7521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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/T10986","display_name":"RFID technology advancements","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/wireless","display_name":"Wireless","score":0.6708037257194519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5675738453865051},{"id":"https://openalex.org/keywords/radio-spectrum","display_name":"Radio spectrum","score":0.49663859605789185},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49326246976852417},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4767147898674011},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.4767000377178192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4696848690509796},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.45290452241897583},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4417882561683655},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4180355370044708},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3419392704963684},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3374497890472412}],"concepts":[{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6708037257194519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5675738453865051},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.49663859605789185},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49326246976852417},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4767147898674011},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.4767000377178192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4696848690509796},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.45290452241897583},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4417882561683655},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4180355370044708},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3419392704963684},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3374497890472412},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3352820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3352820","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W615608051","https://openalex.org/W640945449","https://openalex.org/W1997446368","https://openalex.org/W2082679899","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2409842871","https://openalex.org/W2515296556","https://openalex.org/W2743685750","https://openalex.org/W2754735364","https://openalex.org/W2766272105","https://openalex.org/W2782672556","https://openalex.org/W2899145720","https://openalex.org/W2912833214","https://openalex.org/W2943466984","https://openalex.org/W2945442007","https://openalex.org/W2978620504","https://openalex.org/W2982083293","https://openalex.org/W3012713403","https://openalex.org/W3019166713","https://openalex.org/W3021479140","https://openalex.org/W3044658581","https://openalex.org/W3081708644","https://openalex.org/W3091369929","https://openalex.org/W3097253724","https://openalex.org/W3104712913","https://openalex.org/W3117379804","https://openalex.org/W3119781686","https://openalex.org/W3121097688","https://openalex.org/W3138466526","https://openalex.org/W3154401313","https://openalex.org/W3161504266","https://openalex.org/W3166241939","https://openalex.org/W3183672243","https://openalex.org/W4205886896","https://openalex.org/W4206045754","https://openalex.org/W4283324417","https://openalex.org/W4308080873","https://openalex.org/W4313546748","https://openalex.org/W4376481117","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0],"the":[1,29,36,40,44,118,147],"realm":[2],"of":[3,39,47,134,144],"traffic":[4],"parameter":[5],"measurement,":[6],"wireless":[7,48,108,128],"sensing-based":[8,109],"human-vehicle":[9,67,110,120],"recognition":[10,68,111,121,142],"methods":[11,25],"have":[12,26,62],"been":[13,157],"pivotal":[14],"due":[15],"to":[16],"their":[17,64],"low":[18],"cost":[19],"and":[20,56,89,107,130,153],"non-invasive":[21],"nature.":[22],"Traditionally,":[23],"these":[24],"relied":[27],"on":[28,66,97],"2.4":[30,126],"GHz":[31,127],"frequency":[32],"band,":[33],"often":[34],"neglecting":[35],"rich":[37],"potential":[38],"sub-GHz":[41,87],"bands.":[42],"Furthermore,":[43],"energy":[45],"attributes":[46],"signals":[49,129],"are":[50],"influenced":[51],"by":[52],"both":[53,86],"antenna":[54,91,132,154],"height":[55,133],"carrier":[57,151],"frequency,":[58],"yet":[59],"few":[60],"studies":[61],"explored":[63],"impact":[65],"performance.":[69],"Addressing":[70],"this":[71,75,94],"critical":[72],"research":[73],"gap,":[74],"study":[76],"introduces":[77],"an":[78,131,139],"innovative":[79],"convolutional":[80],"neural":[81],"network-based":[82],"method":[83],"that":[84,117],"leverages":[85],"bands":[88],"variable":[90],"heights.":[92],"Specifically,":[93],"paper":[95],"focuses":[96],"two":[98],"key":[99],"aspects:":[100],"received":[101],"signal":[102],"strength":[103],"signal-to-noise":[104],"ratio":[105],"analysis":[106],"performance":[112,122],"analysis.":[113],"Experimental":[114],"results":[115],"demonstrate":[116],"optimal":[119],"is":[123],"achieved":[124],"with":[125,149],"0.8":[135],"m,":[136],"resulting":[137],"in":[138],"average":[140],"vehicle":[141],"accuracy":[143],"95.96%.":[145],"Besides,":[146],"dataset":[148],"various":[150],"frequencies":[152],"heights":[155],"has":[156],"publicly":[158],"available":[159],"at":[160],"<italic":[161],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[162],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/TZ-mx/mixed-RSS-dataset</i>":[163],".":[164]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}
