{"id":"https://openalex.org/W3016223102","doi":"https://doi.org/10.1109/icassp40776.2020.9054511","title":"Object Detection and 3d Estimation Via an FMCW Radar Using a Fully Convolutional Network","display_name":"Object Detection and 3d Estimation Via an FMCW Radar Using a Fully Convolutional Network","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016223102","doi":"https://doi.org/10.1109/icassp40776.2020.9054511","mag":"3016223102"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5100392510","display_name":"Guoqiang Zhang","orcid":"https://orcid.org/0000-0003-4521-542X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guoqiang Zhang","raw_affiliation_strings":["University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639297","display_name":"Haopeng Li","orcid":"https://orcid.org/0000-0001-8175-5381"},"institutions":[{"id":"https://openalex.org/I4210109626","display_name":"Qamcom Research and Technology (Sweden)","ror":"https://ror.org/01jkn7h76","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210109626"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Haopeng Li","raw_affiliation_strings":["Qamcom Research and Technology AB, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qamcom Research and Technology AB, Sweden","institution_ids":["https://openalex.org/I4210109626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030321292","display_name":"Fabian Wenger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109626","display_name":"Qamcom Research and Technology (Sweden)","ror":"https://ror.org/01jkn7h76","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210109626"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fabian Wenger","raw_affiliation_strings":["Qamcom Research and Technology AB, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qamcom Research and Technology AB, Sweden","institution_ids":["https://openalex.org/I4210109626"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":52.2085,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.99667281,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4487","last_page":"4491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7606712579727173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7594622373580933},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6967951059341431},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6199473142623901},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.606797456741333},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5578328371047974},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5454772114753723},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5436912775039673},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.5425082445144653},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4550444185733795},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44058725237846375},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38667502999305725},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33844003081321716},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1286388337612152},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11815625429153442},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.066327303647995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7606712579727173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7594622373580933},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6967951059341431},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6199473142623901},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.606797456741333},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5578328371047974},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5454772114753723},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5436912775039673},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.5425082445144653},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4550444185733795},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44058725237846375},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38667502999305725},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33844003081321716},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1286388337612152},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11815625429153442},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.066327303647995},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2139137304","https://openalex.org/W2766454996","https://openalex.org/W2795732374","https://openalex.org/W2888862421","https://openalex.org/W2919115771","https://openalex.org/W2962914239","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W3123351243","https://openalex.org/W6735463952","https://openalex.org/W6789554742"],"related_works":["https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W2142793224","https://openalex.org/W2892233029","https://openalex.org/W4210638523","https://openalex.org/W2759710661","https://openalex.org/W2904197056","https://openalex.org/W2103897432","https://openalex.org/W604796468","https://openalex.org/W4296425733"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"object":[3,36,109],"detection":[4],"and":[5,138,144],"3D":[6,39,125,148],"estimation":[7,122],"using":[8,21],"an":[9,35,108,111,121],"FMCW":[10],"radar.":[11],"The":[12,95],"state-of-the-art":[13],"deep":[14],"learning":[15],"framework":[16],"is":[17,41,77,100],"employed":[18,139],"instead":[19],"of":[20,34,47,65,107,123],"traditional":[22],"signal":[23,88],"processing.":[24],"In":[25],"preparing":[26],"the":[27,31,49,58,86,92,105,116,131],"radar":[28,59,87],"training":[29,64,99],"data,":[30],"ground":[32],"truth":[33],"orientation":[37],"in":[38,110,150],"space":[40],"provided":[42],"by":[43],"conducting":[44],"image":[45],"analysis,":[46],"which":[48,76],"images":[50],"are":[51],"obtained":[52],"through":[53],"a":[54,66,73,142,151],"coupled":[55],"camera":[56],"to":[57,79,82,85,102],"device.":[60],"To":[61],"ensure":[62],"successful":[63],"fully":[67],"convolutional":[68],"network":[69],"(FCN),":[70],"we":[71],"propose":[72],"normalization":[74],"method,":[75],"found":[78],"be":[80,83,135],"essential":[81],"applied":[84],"before":[89],"feeding":[90],"into":[91],"neural":[93],"network.":[94],"system":[96,117,133],"after":[97],"proper":[98],"able":[101],"first":[103],"detect":[104],"presence":[106],"environment.":[112,153],"If":[113],"it":[114],"does,":[115],"then":[118],"further":[119,145],"produces":[120],"its":[124,147],"position.":[126],"Experimental":[127],"results":[128],"show":[129],"that":[130],"proposed":[132],"can":[134],"successfully":[136],"trained":[137],"for":[140],"detecting":[141],"car":[143],"estimating":[146],"position":[149],"noisy":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
