{"id":"https://openalex.org/W4403677018","doi":"https://doi.org/10.1109/case59546.2024.10711318","title":"CoDRMA: Collaborative Depth Refinement via Dual-Mask and Dual-Attention for Bird\u2019s Eye View Collaborative 3D Object Detection","display_name":"CoDRMA: Collaborative Depth Refinement via Dual-Mask and Dual-Attention for Bird\u2019s Eye View Collaborative 3D Object Detection","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4403677018","doi":"https://doi.org/10.1109/case59546.2024.10711318"},"language":"en","primary_location":{"id":"doi:10.1109/case59546.2024.10711318","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case59546.2024.10711318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","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/A5057383170","display_name":"Kang Yang","orcid":"https://orcid.org/0000-0002-7246-8425"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Yang","raw_affiliation_strings":["Renmin University of China,School of Information"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053362548","display_name":"Yongcai Wang","orcid":"https://orcid.org/0000-0002-4197-2258"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongcai Wang","raw_affiliation_strings":["Renmin University of China,School of Information"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100912910","display_name":"Yunjun Han","orcid":"https://orcid.org/0000-0003-1161-4721"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjun Han","raw_affiliation_strings":["Chinese Academy of Science,Institute of Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science,Institute of Automation","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044965133","display_name":"Qing\u2010Shan Jia","orcid":"https://orcid.org/0000-0002-4683-7215"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing-Shan Jia","raw_affiliation_strings":["Tsinghua University,Department of Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2832","last_page":"2837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9915000200271606,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/dual","display_name":"Dual (grammatical number)","score":0.8486217856407166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7104268074035645},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5667422413825989},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5168871879577637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45714619755744934},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45507586002349854},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3704885244369507},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32661259174346924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18755868077278137},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.09438815712928772}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.8486217856407166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7104268074035645},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5667422413825989},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5168871879577637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45714619755744934},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45507586002349854},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3704885244369507},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32661259174346924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18755868077278137},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.09438815712928772},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case59546.2024.10711318","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case59546.2024.10711318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2963416674","https://openalex.org/W2968296999","https://openalex.org/W2982681137","https://openalex.org/W2985739927","https://openalex.org/W2996759437","https://openalex.org/W3035098634","https://openalex.org/W3090375251","https://openalex.org/W3109395584","https://openalex.org/W3109991383","https://openalex.org/W3173668541","https://openalex.org/W3201193904","https://openalex.org/W3215100485","https://openalex.org/W4225793049","https://openalex.org/W4312571135","https://openalex.org/W4312604822","https://openalex.org/W4312894406","https://openalex.org/W4312939270","https://openalex.org/W4352977781","https://openalex.org/W4386076547","https://openalex.org/W4386083148","https://openalex.org/W6785667878","https://openalex.org/W6799331316","https://openalex.org/W6802311648","https://openalex.org/W6802966573","https://openalex.org/W6839180059","https://openalex.org/W6839355098","https://openalex.org/W6842774165"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2952466936","https://openalex.org/W2737719445","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W3046201198","https://openalex.org/W4293061921","https://openalex.org/W4239098401","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"In":[0,94],"collaborative":[1,59],"perception,":[2],"camera-based":[3,15,169],"approach":[4,27],"is":[5,112],"more":[6],"informative":[7],"and":[8,32,49,78,104,122,146],"economical":[9],"than":[10],"Lidar-based":[11,26,175],"approach.":[12],"However,":[13],"currently,":[14],"methods":[16],"still":[17],"have":[18],"a":[19,41,90],"significant":[20],"performance":[21,161],"gap":[22,173],"compared":[23],"to":[24,29,74,118],"the":[25,30,72,95,129,144,152,172],"due":[28],"difficulty":[31],"uncertainty":[33],"involved":[34],"in":[35,162],"depth":[36,45,76,103,125,130],"estimation.":[37],"This":[38],"paper":[39],"introduces":[40],"strategy":[42,65],"that":[43,156],"refines":[44],"estimation":[46,77],"using":[47],"foreground":[48],"background":[50],"information,":[51],"which":[52,114],"empowers":[53],"accurate":[54],"Bird\u2019s":[55,80],"Eye":[56,81],"View":[57,82],"(BEV)":[58,83],"3D":[60,139,163],"detection":[61,141,165],"by":[62,101],"multi-agents.":[63],"Our":[64],"encompasses":[66],"two":[67],"stages:":[68],"Initially,":[69],"we":[70,98],"introduce":[71],"Dual-Mask":[73],"enhance":[75],"employ":[79],"paradigms":[84],"for":[85],"integrating":[86],"multi-viewpoint":[87],"data,":[88],"facilitating":[89],"comprehensive":[91],"scene":[92],"analysis.":[93],"second":[96],"stage,":[97],"generate":[99],"pseudo-images":[100],"fusing":[102],"masks":[105],"as":[106],"auxiliary":[107,120],"messages.":[108],"A":[109],"Dual-Attention":[110],"scheme":[111],"proposed,":[113],"leverages":[115],"multi-agent":[116],"communication":[117],"augment":[119],"insights":[121],"further":[123],"refine":[124],"estimations.":[126],"By":[127],"refining":[128],"information":[131],"twice,":[132],"our":[133,157],"method":[134,158],"effectively":[135],"improves":[136],"BEV-based":[137],"collaboration":[138],"object":[140,164],"accuracy":[142],"especially":[143],"occlused":[145],"long":[147],"distance":[148],"objects.":[149],"Experiments":[150],"on":[151],"OPV2V":[153],"dataset":[154],"show":[155],"achieves":[159],"state-of-the-art":[160],"task":[166],"among":[167],"known":[168],"methods,":[170],"narrowing":[171],"with":[174],"methods.":[176],"Codes":[177],"will":[178],"be":[179],"made":[180],"available.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}