{"id":"https://openalex.org/W4302385979","doi":"https://doi.org/10.1109/iwssip55020.2022.9854472","title":"Investigation for the Need of Traditional Data-Preprocessing when Applying Artificial Neural Networks to FMCW-Radar Data","display_name":"Investigation for the Need of Traditional Data-Preprocessing when Applying Artificial Neural Networks to FMCW-Radar Data","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4302385979","doi":"https://doi.org/10.1109/iwssip55020.2022.9854472"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip55020.2022.9854472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip55020.2022.9854472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/8096619","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035506764","display_name":"Jakob Valtl","orcid":"https://orcid.org/0000-0001-9562-2213"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jakob Valtl","raw_affiliation_strings":["Infineon Technologies AG,Neubiberg,Germany","Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Infineon Technologies AG,Neubiberg,Germany","institution_ids":["https://openalex.org/I137594350"]},{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059825293","display_name":"Javier Mendez","orcid":"https://orcid.org/0000-0002-5981-4135"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Javier Mendez","raw_affiliation_strings":["Infineon Technologies AG,Neubiberg,Germany","Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Infineon Technologies AG,Neubiberg,Germany","institution_ids":["https://openalex.org/I137594350"]},{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069095760","display_name":"Gianfranco Mauro","orcid":"https://orcid.org/0000-0003-3204-1555"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gianfranco Mauro","raw_affiliation_strings":["Infineon Technologies AG,Neubiberg,Germany","Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Infineon Technologies AG,Neubiberg,Germany","institution_ids":["https://openalex.org/I137594350"]},{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039764165","display_name":"Antonio Cabrera","orcid":"https://orcid.org/0000-0003-4550-7131"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Antonio Cabrera","raw_affiliation_strings":["Infineon Technologies AG,Neubiberg,Germany","Infineon Technologies AG, Neubiberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Infineon Technologies AG,Neubiberg,Germany","institution_ids":["https://openalex.org/I137594350"]},{"raw_affiliation_string":"Infineon Technologies AG, Neubiberg, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058558617","display_name":"\u0412\u0430\u0434\u0438\u043c \u0406\u0441\u0441\u0430\u043a\u043e\u0432","orcid":"https://orcid.org/0000-0003-3450-8745"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vadim Issakov","raw_affiliation_strings":["Technische Universität Braunschweig,Braunschweig,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universität Braunschweig,Braunschweig,Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4091,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91767256,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1168","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11698","display_name":"Underwater Acoustics Research","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8052829504013062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7448135614395142},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.722474217414856},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.6714316010475159},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.6569454669952393},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6258620023727417},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5658918023109436},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5644354224205017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5469009876251221},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.5069506168365479},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4640568494796753},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4360384941101074},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.4110577702522278},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39525681734085083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37111860513687134},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10804685950279236},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08831971883773804}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8052829504013062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7448135614395142},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.722474217414856},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6714316010475159},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.6569454669952393},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6258620023727417},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5658918023109436},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5644354224205017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5469009876251221},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.5069506168365479},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4640568494796753},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4360384941101074},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.4110577702522278},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39525681734085083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37111860513687134},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10804685950279236},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08831971883773804},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwssip55020.2022.9854472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip55020.2022.9854472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:8096619","is_oa":true,"landing_page_url":"https://zenodo.org/record/8096619","pdf_url":"https://zenodo.org/record/8096619","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:8096619","is_oa":true,"landing_page_url":"https://zenodo.org/record/8096619","pdf_url":"https://zenodo.org/record/8096619","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4302385979.pdf","grobid_xml":"https://content.openalex.org/works/W4302385979.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2753053807","https://openalex.org/W2921504807","https://openalex.org/W2935849356","https://openalex.org/W2948705456","https://openalex.org/W2948978827","https://openalex.org/W3089563936","https://openalex.org/W3142927872","https://openalex.org/W3169596080","https://openalex.org/W3201215469","https://openalex.org/W3210656468"],"related_works":["https://openalex.org/W3010890513","https://openalex.org/W3086422166","https://openalex.org/W2053247611","https://openalex.org/W3165117444","https://openalex.org/W2084395052","https://openalex.org/W3016972457","https://openalex.org/W2792375448","https://openalex.org/W2605106030","https://openalex.org/W3138271675","https://openalex.org/W3117229956"],"abstract_inverted_index":{"Robust":[0],"functionality":[1],"of":[2,84,100],"autonomous":[3],"driving":[4],"vehicles":[5],"relies":[6],"on":[7,16,44],"their":[8],"ability":[9],"to":[10,33,56,117],"detect":[11],"obstables":[12],"and":[13,28,113,132,145],"various":[14],"scenarios":[15],"the":[17,45,98,102,123,150],"road.":[18],"This":[19,135],"can":[20,49],"be":[21],"only":[22],"achieved":[23],"by":[24],"applying":[25,107],"robust,":[26],"fast":[27],"efficient":[29],"AI-based":[30],"signal":[31,130,147],"processing":[32,131,148],"radar":[34,62],"data.":[35,64,77,119],"In":[36,78],"this":[37],"work":[38],"we":[39,81],"present":[40],"an":[41],"empirical":[42],"investigation":[43],"question,":[46],"whether":[47],"one":[48,73],"apply":[50,114],"artificial":[51],"neural":[52],"networks":[53],"(ANNs)":[54],"directly":[55,116],"frequency":[57],"modulated":[58],"continuous":[59],"wave":[60],"(FMCW)":[61],"raw":[63,76,118],"We":[65,95,120],"show":[66,121],"that":[67,122],"preproceessing":[68],"is":[69,136],"not":[70],"necessary":[71],"if":[72],"has":[74],"enough":[75],"our":[79],"experiment":[80],"have":[82],"data":[83,103],"153":[85],"648":[86],"frames":[87],"collected":[88],"with":[89],"a":[90,137],"60":[91],"GHz":[92],"FMCW":[93],"radar.":[94],"compare":[96],"systematically":[97],"options":[99],"preprocessing":[101,109],"using":[104],"variational":[105],"autoencoder,":[106],"traditional":[108],"or":[110],"omit":[111],"data-preprocessing":[112],"ANN":[115],"last":[124],"option":[125],"results":[126],"in":[127],"28%":[128],"faster":[129],"highest":[133],"accuracy.":[134],"promising":[138],"result,":[139],"since":[140],"it":[141],"enables":[142],"edge":[143],"computing":[144],"direct":[146],"at":[149],"sensor":[151],"level.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}