{"id":"https://openalex.org/W7138085178","doi":"https://doi.org/10.1609/aaai.v40i9.37633","title":"V2VLoc: Robust GNSS-Free Collaborative Perception via LiDAR Localization","display_name":"V2VLoc: Robust GNSS-Free Collaborative Perception via LiDAR Localization","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138085178","doi":"https://doi.org/10.1609/aaai.v40i9.37633"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i9.37633","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i9.37633","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i9.37633","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129654736","display_name":"Wenkai Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenkai Lin","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059888118","display_name":"Qiming Xia","orcid":"https://orcid.org/0000-0002-6440-5694"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiming Xia","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129727008","display_name":"Wen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Li","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129691255","display_name":"Xun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Huang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129676669","display_name":"Chenglu Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglu Wen","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, China\nKey Laboratory of Multimedia Trusted Perception and Efficient Computing","institution_ids":["https://openalex.org/I161346416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"9","first_page":"6988","last_page":"6996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.7893000245094299,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.7893000245094299,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.05530000105500221,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.026000000536441803,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.785099983215332},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6500999927520752},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5023000240325928},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4372999966144562},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.38769999146461487},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3571000099182129}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.785099983215332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206000089645386},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6500999927520752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6290000081062317},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5023000240325928},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4372999966144562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4278999865055084},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3628000020980835},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.34279999136924744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3416999876499176},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.31869998574256897},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.2590999901294708}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i9.37633","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i9.37633","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/37633","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/37633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i9.37633","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i9.37633","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-agents":[0],"rely":[1],"on":[2,46,144,163],"accurate":[3],"poses":[4],"to":[5,59,168],"share":[6],"and":[7,63,108,118,121,172],"align":[8],"observations,":[9],"enabling":[10],"a":[11,39,52,95],"collaborative":[12,42,109,138],"perception":[13,43],"of":[14,70,174],"the":[15,68,76,137,145,164,170],"environment.":[16],"However,":[17],"traditional":[18],"GNSS-based":[19],"localization":[20,71,107,129],"often":[21],"fails":[22],"in":[23,31,128],"GNSS-denied":[24,156],"environments,":[25],"making":[26],"consistent":[27],"feature":[28],"alignment":[29,86],"difficult":[30],"collaboration.":[32],"To":[33,66],"tackle":[34],"this":[35],"challenge,":[36],"we":[37,50,73,93],"propose":[38,51],"robust":[40],"GNSS-free":[41],"framework":[44],"based":[45],"LiDAR":[47,106],"localization.":[48],"Specifically,":[49],"lightweight":[53],"Pose":[54],"Generator":[55],"with":[56],"Confidence":[57],"(PGC)":[58],"estimate":[60],"compact":[61],"pose":[62],"confidence":[64],"representations.":[65],"alleviate":[67],"effects":[69],"errors,":[72],"further":[74,159],"develop":[75],"Pose-Aware":[77],"Spatio-Temporal":[78],"Alignment":[79],"Transformer":[80],"(PASTAT),":[81],"which":[82,100],"performs":[83],"confidence-aware":[84],"spatial":[85],"while":[87],"capturing":[88],"essential":[89],"temporal":[90],"context.":[91],"Additionally,":[92],"present":[94],"new":[96],"simulation":[97],"dataset,":[98],"V2VLoc,":[99],"can":[101],"be":[102],"adapted":[103],"for":[104,126,136],"both":[105],"detection":[110,139],"tasks.":[111],"V2VLoc":[112,146],"comprises":[113],"three":[114],"subsets:":[115],"Town1Loc,":[116],"Town4Loc,":[117],"V2VDet.":[119],"Town1Loc":[120],"Town4Loc":[122],"offer":[123],"multi-traversal":[124],"sequences":[125],"training":[127],"tasks,":[130],"whereas":[131],"V2VDet":[132],"is":[133],"specifically":[134],"intended":[135],"task.":[140],"Extensive":[141],"experiments":[142,162],"conducted":[143],"dataset":[147,167],"demonstrate":[148],"that":[149],"our":[150],"approach":[151],"achieves":[152],"state-of-the-art":[153],"performance":[154],"under":[155],"conditions.":[157],"We":[158],"conduct":[160],"extended":[161],"real-world":[165],"V2V4Real":[166],"validate":[169],"effectiveness":[171],"generalizability":[173],"PASTAT.":[175]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}
