{"id":"https://openalex.org/W4391768645","doi":"https://doi.org/10.1109/itsc57777.2023.10422067","title":"A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation","display_name":"A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391768645","doi":"https://doi.org/10.1109/itsc57777.2023.10422067"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","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/A5035608313","display_name":"Diogo Wachtel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Diogo Wachtel","raw_affiliation_strings":["Center of Automotive Research on Integrated Safety Systems and Measurement Area - Institute of Automated Driving (CARISSMA-IAD), Technische Hochschule Ingolstadt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Automotive Research on Integrated Safety Systems and Measurement Area - Institute of Automated Driving (CARISSMA-IAD), Technische Hochschule Ingolstadt","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018634941","display_name":"Samuel Queiroz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Samuel Queiroz","raw_affiliation_strings":["Center of Automotive Research on Integrated Safety Systems and Measurement Area - Institute of Automated Driving (CARISSMA-IAD), Technische Hochschule Ingolstadt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Automotive Research on Integrated Safety Systems and Measurement Area - Institute of Automated Driving (CARISSMA-IAD), Technische Hochschule Ingolstadt","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078954824","display_name":"Torsten Sch\u00f6n","orcid":"https://orcid.org/0000-0001-5763-3392"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Torsten Sch\u00f6n","raw_affiliation_strings":["Center of Automotive Research on Integrated Safety Systems and Measurement Area - Institute of Automated Driving (CARISSMA-IAD), Technische Hochschule Ingolstadt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Automotive Research on Integrated Safety Systems and Measurement Area - Institute of Automated Driving (CARISSMA-IAD), Technische Hochschule Ingolstadt","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037173569","display_name":"Werner Huber","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Werner Huber","raw_affiliation_strings":["Center of Automotive Research on Integrated Safety Systems and Measurement Area - Institute of Automated Driving (CARISSMA-IAD), Technische Hochschule Ingolstadt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Automotive Research on Integrated Safety Systems and Measurement Area - Institute of Automated Driving (CARISSMA-IAD), Technische Hochschule Ingolstadt","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050390402","display_name":"Lester de Abreu Faria","orcid":"https://orcid.org/0000-0003-1785-446X"},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lester Faria","raw_affiliation_strings":["Instituto Tecnol&#x00F3;gico de Aeron&#x00E1;utica,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Tecnol&#x00F3;gico de Aeron&#x00E1;utica,Brazil","institution_ids":["https://openalex.org/I107428990"]}]}],"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":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3964","last_page":"3969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9998000264167786,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9968000054359436,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/generative-grammar","display_name":"Generative grammar","score":0.6204863786697388},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.616365909576416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5971284508705139},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5166611671447754},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5143436193466187},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5048301815986633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48109954595565796},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.4557284116744995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24065729975700378},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21750563383102417},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.07320588827133179},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06862667202949524}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6204863786697388},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.616365909576416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5971284508705139},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5166611671447754},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5143436193466187},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5048301815986633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48109954595565796},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.4557284116744995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24065729975700378},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21750563383102417},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.07320588827133179},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06862667202949524},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10422067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1490921409","https://openalex.org/W1582660696","https://openalex.org/W2054949967","https://openalex.org/W2125389028","https://openalex.org/W2614504311","https://openalex.org/W2775795276","https://openalex.org/W2888548558","https://openalex.org/W2914525916","https://openalex.org/W2917360602","https://openalex.org/W2937975340","https://openalex.org/W2963185411","https://openalex.org/W2963684088","https://openalex.org/W2978375926","https://openalex.org/W3004339042","https://openalex.org/W3112438430","https://openalex.org/W3131023837","https://openalex.org/W3162444044","https://openalex.org/W3167125471","https://openalex.org/W4206134125","https://openalex.org/W4256669726","https://openalex.org/W4293416510","https://openalex.org/W4298289240","https://openalex.org/W6768327483"],"related_works":["https://openalex.org/W1978025251","https://openalex.org/W2361241744","https://openalex.org/W4252012301","https://openalex.org/W2900664875","https://openalex.org/W2235285389","https://openalex.org/W2532305960","https://openalex.org/W2086314607","https://openalex.org/W2581209175","https://openalex.org/W2022955050","https://openalex.org/W4381745278"],"abstract_inverted_index":{"Radar":[0],"target":[1],"simulations":[2],"are":[3,33,128],"vital":[4],"to":[5,13,44,47,61,65,131,149,152],"automotive":[6,92],"research":[7],"as":[8,161],"they":[9],"make":[10],"it":[11],"possible":[12],"reproduce":[14],"real":[15,154],"scenarios":[16],"with":[17,24,114,134],"reasonable":[18],"accuracy.":[19],"However,":[20],"this":[21],"process":[22],"comes":[23],"high":[25],"computational":[26],"costs":[27],"and":[28,35,69],"limitations.":[29],"The":[30,121],"generated":[31,48,126],"targets":[32,113,163],"ideal":[34,159],"thus":[36,165],"far":[37],"from":[38],"reality.":[39],"Recent":[40],"studies":[41,84],"have":[42,85],"led":[43],"an":[45,135,167],"alternative":[46],"synthetic":[49,146],"radar":[50,76,111],"data:":[51],"Generative":[52],"Adversarial":[53],"Networks":[54],"(GAN),":[55],"a":[56,82,104,117,140],"neural":[57],"network":[58],"architecture":[59],"designed":[60],"generate":[62],"realistic":[63,129],"data":[64,77,147],"synthesize":[66],"images,":[67],"texts,":[68],"more,":[70],"which":[71],"is":[72],"being":[73],"studied":[74],"for":[75,172],"applications.":[78,100],"Until":[79],"now,":[80],"only":[81],"few":[83],"explored":[86],"the":[87,125,145,153],"approach,":[88],"especially":[89],"when":[90],"considering":[91],"radars,":[93],"but":[94,156],"showing":[95],"promising":[96],"results":[97,122],"in":[98,139],"its":[99],"This":[101],"work":[102],"proposes":[103],"Conditional":[105],"GAN":[106],"(CGAN)":[107],"that":[108,124,144],"synthesizes":[109],"FMCW":[110],"Range-Doppler":[112],"Micro-Doppler":[115],"given":[116],"selected":[118],"object":[119],"input.":[120],"show":[123],"samples":[127],"enough":[130],"be":[132,150],"classified":[133],"accuracy":[136],"of":[137,170],"82%":[138],"pre-trained":[141],"classifier,":[142],"proving":[143],"seems":[148],"similar":[151],"ones":[155],"not":[157],"representing":[158],"results,":[160],"simulation":[162,173],"do,":[164],"fulfilling":[166],"important":[168],"gap":[169],"knowledge":[171],"purposes.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
