{"id":"https://openalex.org/W4416751225","doi":"https://doi.org/10.1109/iros60139.2025.11246433","title":"CORENet: Cross-Modal 4D Radar Denoising Network with LiDAR Supervision for Autonomous Driving","display_name":"CORENet: Cross-Modal 4D Radar Denoising Network with LiDAR Supervision for Autonomous Driving","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416751225","doi":"https://doi.org/10.1109/iros60139.2025.11246433"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11246433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5100579494","display_name":"Fuyang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuyang Liu","raw_affiliation_strings":["Institute of Computing Technology,Chinese Academy of Sciences,China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology,Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064630457","display_name":"Jilin Mei","orcid":"https://orcid.org/0000-0002-3326-1632"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilin Mei","raw_affiliation_strings":["Institute of Computing Technology,Chinese Academy of Sciences,China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology,Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053368619","display_name":"Fangyuan Mao","orcid":"https://orcid.org/0000-0002-8208-3473"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyuan Mao","raw_affiliation_strings":["Institute of Computing Technology,Chinese Academy of Sciences,China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology,Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Min","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Min","raw_affiliation_strings":["Institute of Computing Technology,Chinese Academy of Sciences,China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology,Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020517877","display_name":"Xing Yan","orcid":"https://orcid.org/0000-0001-9327-5756"},"institutions":[{"id":"https://openalex.org/I4210127270","display_name":"China Institute of Veterinary Drug Control","ror":"https://ror.org/03jt74a36","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210127270"]},{"id":"https://openalex.org/I4210166468","display_name":"Beijing Aerospace Flight Control Center","ror":"https://ror.org/007a14354","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210166468"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Xing","raw_affiliation_strings":["Beijing Institute of Control Engineering,China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Control Engineering,China","institution_ids":["https://openalex.org/I4210127270","https://openalex.org/I4210166468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101816319","display_name":"Yu Hu","orcid":"https://orcid.org/0000-0002-6302-3539"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Hu","raw_affiliation_strings":["Institute of Computing Technology,Chinese Academy of Sciences,China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology,Chinese Academy of Sciences,China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100579494"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44014484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3084","last_page":"3091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.7145000100135803,"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":0.7145000100135803,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.06560000032186508,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.03579999879002571,"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/lidar","display_name":"Lidar","score":0.7670000195503235},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6467999815940857},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5494999885559082},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5256999731063843},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5115000009536743},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4823000133037567},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.460099995136261}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7670000195503235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041000127792358},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6467999815940857},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5494999885559082},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5256999731063843},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5115000009536743},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4823000133037567},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.460099995136261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45739999413490295},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4514000117778778},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39250001311302185},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.38989999890327454},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37959998846054077},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26660001277923584},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2581999897956848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11246433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2004402003","https://openalex.org/W2058524213","https://openalex.org/W2137531922","https://openalex.org/W2162979765","https://openalex.org/W2948921918","https://openalex.org/W2963182550","https://openalex.org/W2968296999","https://openalex.org/W2979750740","https://openalex.org/W3015248322","https://openalex.org/W3034681945","https://openalex.org/W3105073457","https://openalex.org/W3118132944","https://openalex.org/W3118341329","https://openalex.org/W3134772664","https://openalex.org/W3161595308","https://openalex.org/W3173916380","https://openalex.org/W3176222228","https://openalex.org/W4200140566","https://openalex.org/W4214521144","https://openalex.org/W4214743188","https://openalex.org/W4293811845","https://openalex.org/W4308068569","https://openalex.org/W4312270234","https://openalex.org/W4312410080","https://openalex.org/W4312414163","https://openalex.org/W4320002769","https://openalex.org/W4382469124","https://openalex.org/W4386065698","https://openalex.org/W4386071571","https://openalex.org/W4386076457","https://openalex.org/W4386353014","https://openalex.org/W4390872227","https://openalex.org/W4396621437","https://openalex.org/W4401413925","https://openalex.org/W4402753788","https://openalex.org/W4404690000","https://openalex.org/W4405844792","https://openalex.org/W4408411785"],"related_works":[],"abstract_inverted_index":{"4D":[0,33,69],"radar-based":[1],"object":[2],"detection":[3,84,132],"has":[4],"garnered":[5],"great":[6],"attention":[7],"for":[8,40,98],"its":[9],"robustness":[10],"in":[11,130],"adverse":[12],"weather":[13],"conditions":[14],"and":[15,29,63],"capacity":[16],"to":[17,59,143],"deliver":[18],"rich":[19],"spatial":[20],"information":[21],"across":[22],"diverse":[23],"driving":[24],"scenarios.":[25],"Nevertheless,":[26],"the":[27,45,91,113,125],"sparse":[28],"noisy":[30],"nature":[31],"of":[32,127],"radar":[34,70],"point":[35],"clouds":[36],"poses":[37],"substantial":[38],"challenges":[39],"effective":[41],"perception.":[42],"To":[43],"address":[44],"limitation,":[46],"we":[47],"present":[48],"CORENet,":[49],"a":[50,74],"novel":[51],"cross-modal":[52,99],"denoising":[53],"framework":[54,129],"that":[55,137],"leverages":[56],"LiDAR":[57,96],"supervision":[58,100],"identify":[60],"noise":[61,122],"patterns":[62],"extract":[64],"discriminative":[65],"features":[66],"from":[67],"raw":[68],"data.":[71],"Designed":[72],"as":[73],"plug-and-play":[75],"architecture,":[76],"our":[77,128],"solution":[78],"enables":[79],"seamless":[80],"integration":[81],"into":[82],"voxel-based":[83],"frameworks":[85],"without":[86],"modifying":[87],"existing":[88,144],"pipelines.":[89],"Notably,":[90],"proposed":[92],"method":[93],"only":[94],"utilizes":[95],"data":[97],"during":[101,108],"training":[102],"while":[103],"maintaining":[104],"full":[105],"radar-only":[106],"operation":[107],"inference.":[109],"Extensive":[110],"evaluation":[111],"on":[112],"challenging":[114],"Dual-Radar":[115],"dataset,":[116],"which":[117],"is":[118,149],"characterized":[119],"by":[120],"elevated":[121],"level,":[123],"demonstrates":[124],"effectiveness":[126],"enhancing":[131],"robustness.":[133],"Comprehensive":[134],"experiments":[135],"validate":[136],"CORENet":[138],"achieves":[139],"superior":[140],"performance":[141],"compared":[142],"mainstream":[145],"approaches.":[146],"The":[147],"code":[148],"available":[150],"at":[151],"https://github.com/charlesuv/corenet.git.":[152]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-28T00:00:00"}
