{"id":"https://openalex.org/W4400646521","doi":"https://doi.org/10.1109/iv55156.2024.10588477","title":"Segmentation-assisted Multi-frame Radar Target Detection Network in Clutter Traffic Scenarios","display_name":"Segmentation-assisted Multi-frame Radar Target Detection Network in Clutter Traffic Scenarios","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400646521","doi":"https://doi.org/10.1109/iv55156.2024.10588477"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","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/A5101377921","display_name":"Yiru Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiru Lin","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043445267","display_name":"Xinwei Wei","orcid":"https://orcid.org/0000-0001-8500-2889"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Wei","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330003","display_name":"Xi Cao","orcid":"https://orcid.org/0000-0002-9650-3897"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Cao","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035252092","display_name":"Zhiyuan Zou","orcid":"https://orcid.org/0000-0001-9412-7368"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Zou","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107940248","display_name":"Yi Wei","orcid":"https://orcid.org/0000-0002-7600-0782"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yi","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu, Sichuan,P.R. China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101377921"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.5096,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84657717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2604","last_page":"2609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9977999925613403,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9977999925613403,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8254835605621338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6649678945541382},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.542145848274231},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.47942250967025757},{"id":"https://openalex.org/keywords/radar-detection","display_name":"Radar detection","score":0.43163612484931946},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41595911979675293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4089556932449341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40245288610458374},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3854230046272278},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2576180398464203},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19861701130867004}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8254835605621338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6649678945541382},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.542145848274231},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.47942250967025757},{"id":"https://openalex.org/C2989048297","wikidata":"https://www.wikidata.org/wiki/Q930654","display_name":"Radar detection","level":3,"score":0.43163612484931946},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41595911979675293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4089556932449341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40245288610458374},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3854230046272278},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2576180398464203},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19861701130867004}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W65255600","https://openalex.org/W2997999719","https://openalex.org/W3097947358","https://openalex.org/W3111259647","https://openalex.org/W3128655704","https://openalex.org/W3138516171","https://openalex.org/W3161421216","https://openalex.org/W3173695934","https://openalex.org/W3193779016","https://openalex.org/W3208042922","https://openalex.org/W4281821179","https://openalex.org/W4285813086","https://openalex.org/W4286285580","https://openalex.org/W4286285585","https://openalex.org/W4312831872","https://openalex.org/W4367154228","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2349566327","https://openalex.org/W1935708782","https://openalex.org/W1874328225","https://openalex.org/W2363683226","https://openalex.org/W2145616381","https://openalex.org/W2540764898","https://openalex.org/W2354419723","https://openalex.org/W1996703098","https://openalex.org/W2187483124","https://openalex.org/W2373421221"],"abstract_inverted_index":{"Target":[0],"detection":[1,78,111,166],"in":[2,58,84,118],"road":[3],"clutter":[4,41,51,85,98],"environment":[5],"is":[6,22,28],"a":[7,76,109,128,164],"challenge":[8],"for":[9,71,80],"automotive":[10],"radar.":[11],"The":[12],"performance":[13],"of":[14,136],"model-based":[15],"methods":[16,37],"degrades":[17],"when":[18],"the":[19,25,31,55,68,92,96,102,122,134,142,155,172],"prior":[20],"model":[21],"mismatched":[23],"or":[24],"target":[26],"energy":[27],"overwhelmed":[29],"by":[30,100,120,146],"clutter.":[32,147],"In":[33,168],"contrast,":[34],"deep":[35,45],"learning":[36],"can":[38],"nonlinearly":[39],"fit":[40,95],"distributions":[42],"and":[43,152],"extract":[44],"features":[46],"to":[47,94,113,132],"identify":[48],"targets":[49,63,83,179],"from":[50,64],"backgrounds.":[52],"Considering":[53],"that":[54],"spatial-temporal":[56],"feature":[57],"multi-frame":[59,69,77,110,115],"data":[60,70],"helps":[61],"distinguish":[62],"clutter,":[65],"we":[66,88,107,126],"use":[67,89],"detection.":[72],"This":[73],"paper":[74],"proposes":[75],"network":[79],"radar":[81],"moving":[82],"environment.":[86],"First,":[87],"transformer":[90],"as":[91],"backbone":[93],"large-scale":[97],"background":[99],"extracting":[101],"global":[103],"spatio-temporal":[104,123],"feature.":[105,124],"Second,":[106],"proposed":[108,127,156],"head":[112],"predict":[114],"bounding":[116,137],"boxes":[117],"parallel":[119],"utilizing":[121],"Third,":[125],"segmentation-assisted":[129],"refinement":[130],"module":[131],"refine":[133],"objectness":[135],"boxes,":[138],"thus":[139],"further":[140],"suppressing":[141],"false":[143,160],"alarms":[144,161],"caused":[145],"Through":[148],"experiments":[149],"on":[150],"simulation":[151],"measured":[153],"datasets,":[154],"method":[157,176],"effectively":[158],"reduces":[159],"while":[162],"maintaining":[163],"high":[165],"probability.":[167],"addition,":[169],"compared":[170],"with":[171],"segmentation-based":[173],"method,":[174],"our":[175],"distinguishes":[177],"adjacent":[178],"more":[180],"robustly.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
