{"id":"https://openalex.org/W6926244512","doi":"https://doi.org/10.21227/nbha-x905","title":"CIR for Rapid and Gradual Deceleration","display_name":"CIR for Rapid and Gradual Deceleration","publication_year":2025,"publication_date":"2025-04-10","ids":{"openalex":"https://openalex.org/W6926244512","doi":"https://doi.org/10.21227/nbha-x905"},"language":"en","primary_location":{"id":"doi:10.21227/nbha-x905","is_oa":true,"landing_page_url":"https://doi.org/10.21227/nbha-x905","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/nbha-x905","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lee, Kyungbo","orcid":null},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Lee, Kyungbo","raw_affiliation_strings":["Korea Expressway Corporation , Ajou University"],"affiliations":[{"raw_affiliation_string":"Korea Expressway Corporation , Ajou University","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6198999881744385},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5206000208854675},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.45410001277923584},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44279998540878296},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.41920000314712524},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.39899998903274536},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.39469999074935913},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.39160001277923584},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.37459999322891235}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6198999881744385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5356000065803528},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5206000208854675},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.47859999537467957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4724999964237213},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.45410001277923584},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44279998540878296},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.39469999074935913},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.36480000615119934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3617999851703644},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3375999927520752},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.32170000672340393},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.288100004196167},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.2653000056743622}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/nbha-x905","is_oa":true,"landing_page_url":"https://doi.org/10.21227/nbha-x905","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/nbha-x905","is_oa":true,"landing_page_url":"https://doi.org/10.21227/nbha-x905","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,130],"study":[1],"presents":[2],"a":[3,68],"deep":[4,118],"learning-based":[5],"framework":[6],"for":[7,143],"detecting":[8],"vehicle":[9,145],"deceleration":[10,49,83],"patterns":[11],"using":[12,60,104,137],"Ultra-Wideband":[13],"(UWB)":[14],"Channel":[15],"Impulse":[16],"Response":[17],"(CIR)":[18],"analysis.":[19],"Unlike":[20],"traditional":[21],"GPS":[22],"or":[23],"IMU-based":[24],"systems,":[25],"which":[26],"struggle":[27],"in":[28,93,148],"GPS-denied":[29],"environments":[30],"such":[31],"as":[32,90],"tunnels,":[33],"the":[34,133,153],"proposed":[35],"method":[36],"leverages":[37],"UWB":[38,61,138],"CIR":[39,73,139],"signal":[40],"variations":[41],"to":[42,152],"classify":[43],"two":[44],"key":[45],"driving":[46],"behaviors:":[47],"rapid":[48],"and":[50,78,85,109,113,123,140,157],"gradual":[51],"deceleration.":[52],"All":[53],"data":[54],"were":[55,88,102],"collected":[56],"from":[57],"real-world":[58],"experiments":[59],"devices":[62],"installed":[63],"on":[64],"actual":[65],"vehicles":[66],"at":[67],"professional":[69],"highway":[70],"testing":[71],"site.":[72],"signals":[74],"exhibited":[75],"distinct":[76],"amplitude":[77],"frequency-domain":[79],"characteristics":[80],"under":[81],"different":[82],"conditions,":[84],"these":[86],"differences":[87],"used":[89],"core":[91],"features":[92],"model":[94,120],"training.":[95],"To":[96],"enhance":[97],"performance,":[98],"Doppler":[99],"shift":[100],"components":[101],"extracted":[103],"Fast":[105],"Fourier":[106],"Transform":[107],"(FFT)":[108],"integrated":[110],"with":[111],"time-domain":[112],"time-frequency":[114],"features.":[115],"A":[116],"parallel":[117],"learning":[119],"combining":[121],"GRU":[122],"CNN":[124],"layers":[125],"achieved":[126],"98.10%":[127],"classification":[128],"accuracy.":[129],"result":[131],"demonstrates":[132],"practical":[134],"feasibility":[135],"of":[136,155],"Doppler-based":[141],"sensing":[142],"reliable":[144],"motion":[146],"recognition":[147],"GPS-inaccessible":[149],"environments,":[150],"contributing":[151],"development":[154],"safer":[156],"more":[158],"intelligent":[159],"transportation":[160],"systems.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
