{"id":"https://openalex.org/W4415178859","doi":"https://doi.org/10.1109/jiot.2025.3621285","title":"V2V-APG: Adversarial Progressive Generalization for Vehicle-to-Vehicle Cooperative Perception","display_name":"V2V-APG: Adversarial Progressive Generalization for Vehicle-to-Vehicle Cooperative Perception","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415178859","doi":"https://doi.org/10.1109/jiot.2025.3621285"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3621285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3621285","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5100337934","display_name":"Zhiyuan Li","orcid":"https://orcid.org/0000-0002-4091-6342"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Li","raw_affiliation_strings":["School of New Energy and Intelligent Connected Vehicles, Anhui University of Science and Technology, Huainan, China"],"raw_orcid":"https://orcid.org/0000-0002-4091-6342","affiliations":[{"raw_affiliation_string":"School of New Energy and Intelligent Connected Vehicles, Anhui University of Science and Technology, Huainan, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609886","display_name":"Chuan Hu","orcid":"https://orcid.org/0000-0001-5379-1561"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Hu","raw_affiliation_strings":["Intelligent Vehicle Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","School of Mechanical Engineering, Intelligent Vehicle Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5379-1561","affiliations":[{"raw_affiliation_string":"Intelligent Vehicle Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Mechanical Engineering, Intelligent Vehicle Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835901","display_name":"Xiaokun Zheng","orcid":"https://orcid.org/0009-0008-1470-4806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaokun Zheng","raw_affiliation_strings":["Hunan Vanguard Group Corporation Ltd., Changsha, China","Hunan Vanguard Group Corporation Limited, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0008-1470-4806","affiliations":[{"raw_affiliation_string":"Hunan Vanguard Group Corporation Ltd., Changsha, China","institution_ids":[]},{"raw_affiliation_string":"Hunan Vanguard Group Corporation Limited, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370600","display_name":"Jian Wang","orcid":"https://orcid.org/0009-0009-4200-2868"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0009-4200-2868","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044038220","display_name":"Hanqi Wang","orcid":"https://orcid.org/0000-0003-1751-7383"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqi Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1751-7383","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14434595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"24","first_page":"54873","last_page":"54884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/adversarial-system","display_name":"Adversarial system","score":0.7276999950408936},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.670799970626831},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.605400025844574},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.531000018119812},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4957999885082245},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4593000113964081},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4584999978542328},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42800000309944153},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3366999924182892}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.836899995803833},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7276999950408936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6916000247001648},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.670799970626831},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.605400025844574},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.531000018119812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5045999884605408},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4957999885082245},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4584999978542328},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42800000309944153},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.310699999332428},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.30379998683929443},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.30230000615119934},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3621285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3621285","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2311556634","display_name":null,"funder_award_id":"2024yjrc116","funder_id":"https://openalex.org/F4320323708","funder_display_name":"Anhui University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320323708","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2897529137","https://openalex.org/W2949708697","https://openalex.org/W2963118547","https://openalex.org/W2963351448","https://openalex.org/W2963727135","https://openalex.org/W2968296999","https://openalex.org/W2985739927","https://openalex.org/W3004351857","https://openalex.org/W3034314779","https://openalex.org/W3109991383","https://openalex.org/W3133542152","https://openalex.org/W3201193904","https://openalex.org/W4285240050","https://openalex.org/W4289639938","https://openalex.org/W4312604822","https://openalex.org/W4312774735","https://openalex.org/W4319300947","https://openalex.org/W4352977781","https://openalex.org/W4367182782","https://openalex.org/W4386066469","https://openalex.org/W4386076274","https://openalex.org/W4386076308","https://openalex.org/W4386320422","https://openalex.org/W4387092527","https://openalex.org/W4394938942","https://openalex.org/W4401414543","https://openalex.org/W4404819462","https://openalex.org/W4408564371","https://openalex.org/W4413925891"],"related_works":[],"abstract_inverted_index":{"Vehicle-to-Vehicle":[0],"(V2V)":[1],"cooperative":[2,49],"perception":[3],"markedly":[4],"broadens":[5],"scene":[6],"comprehension":[7],"by":[8],"aggregating":[9],"observations":[10],"from":[11,20],"multiple":[12],"connected":[13],"vehicles.":[14],"However,":[15],"existing":[16],"methods":[17,127],"often":[18],"suffer":[19],"performance":[21],"degradation":[22],"when":[23],"confronted":[24],"with":[25],"domain":[26,36,89],"gaps":[27],"between":[28],"training":[29],"and":[30,65,105,119,134],"deployment":[31],"environments.":[32],"To":[33],"bridge":[34],"this":[35],"gap,":[37],"we":[38,73],"introduce":[39],"V2V-APG,":[40],"an":[41],"Adversarial":[42],"Progressive":[43,94],"Generalization":[44],"framework":[45],"for":[46],"cross-domain":[47,129],"V2V":[48],"perception.":[50],"V2V-APG":[51,124],"first":[52],"leverages":[53],"a":[54,75,92],"Spatial-Interaction":[55],"Perception":[56],"Attention":[57],"network":[58],"to":[59,81],"simultaneously":[60],"model":[61],"intra-vehicle":[62],"spatial":[63],"dependencies":[64],"inter-vehicle":[66],"relationships,":[67],"yielding":[68],"rich,":[69],"discriminative":[70],"features.":[71],"Additionally,":[72],"propose":[74],"Domain-Aware":[76],"Dynamic":[77],"Gradient":[78],"Reversal":[79],"Layer":[80],"dynamically":[82],"align":[83],"feature":[84],"distributions":[85],"based":[86],"on":[87,116],"real-time":[88],"discrepancies.":[90],"Finally,":[91],"Confidence-Guided":[93],"Pseudo-label":[95],"Refinement":[96],"strategy":[97],"iteratively":[98],"refines":[99],"target-domain":[100],"pseudo-labels":[101],"through":[102],"adaptive":[103],"thresholding":[104],"curriculum":[106],"learning,":[107],"boosting":[108],"supervision":[109],"quality":[110],"without":[111],"ground-truth":[112],"annotations.":[113],"Extensive":[114],"experiments":[115],"the":[117],"OPV2V":[118],"V2V4Real":[120],"datasets":[121],"demonstrate":[122],"that":[123],"outperforms":[125],"state-of-the-art":[126],"in":[128],"tasks,":[130],"achieving":[131],"superior":[132],"generalization":[133],"robustness.":[135]},"counts_by_year":[],"updated_date":"2025-12-11T23:09:37.256380","created_date":"2025-10-15T00:00:00"}