{"id":"https://openalex.org/W4389371103","doi":"https://doi.org/10.1109/tiv.2023.3337656","title":"GraphPS: Graph Pair Sequences-Based Noisy-Robust Multi-Hop Collaborative Perception","display_name":"GraphPS: Graph Pair Sequences-Based Noisy-Robust Multi-Hop Collaborative Perception","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4389371103","doi":"https://doi.org/10.1109/tiv.2023.3337656"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2023.3337656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3337656","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Transactions on Intelligent Vehicles","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/A5115076708","display_name":"Chenyang Li","orcid":"https://orcid.org/0009-0006-8864-1049"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Li","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"raw_orcid":"https://orcid.org/0009-0006-8864-1049","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102588296","display_name":"Langkun Xu","orcid":"https://orcid.org/0009-0003-5898-9181"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Langkun Xu","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"raw_orcid":"https://orcid.org/0009-0003-5898-9181","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102802775","display_name":"Chenye Jin","orcid":"https://orcid.org/0009-0009-0315-3145"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenye Jin","raw_affiliation_strings":["Silesian School of Intelligent Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"raw_orcid":"https://orcid.org/0009-0009-0315-3145","affiliations":[{"raw_affiliation_string":"Silesian School of Intelligent Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654602","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0002-7691-4672"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China"],"raw_orcid":"https://orcid.org/0000-0002-7691-4672","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":0.5318,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67656837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"9","issue":"2","first_page":"3895","last_page":"3905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976999759674072,"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":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7198681235313416},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5664860606193542},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5368777513504028},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5356312394142151},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.5230125784873962},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.48164287209510803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4746171534061432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3710073232650757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33782172203063965},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3209192156791687},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.20382744073867798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7198681235313416},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5664860606193542},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5368777513504028},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5356312394142151},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.5230125784873962},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.48164287209510803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4746171534061432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3710073232650757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33782172203063965},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3209192156791687},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.20382744073867798},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2023.3337656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3337656","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Transactions on Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3910443718","display_name":null,"funder_award_id":"F2022203045","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G8798293831","display_name":"\u57fa\u4e8e\u4fa7\u4fe1\u9053\u53ef\u4fe1\u878d\u5408\u7684\u65e0\u7ebf\u7f51\u7edc\u611f\u77e5\u7406\u8bba\u4e0e\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772453","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W612478963","https://openalex.org/W1612997784","https://openalex.org/W1821462560","https://openalex.org/W1869778509","https://openalex.org/W1965680834","https://openalex.org/W2015899502","https://openalex.org/W2116341502","https://openalex.org/W2119851068","https://openalex.org/W2148823327","https://openalex.org/W2150760714","https://openalex.org/W2160821342","https://openalex.org/W2222512263","https://openalex.org/W2904551995","https://openalex.org/W2931335216","https://openalex.org/W2949708697","https://openalex.org/W2951517617","https://openalex.org/W2968296999","https://openalex.org/W2979400304","https://openalex.org/W2982681137","https://openalex.org/W2983178467","https://openalex.org/W2985739927","https://openalex.org/W2992174520","https://openalex.org/W2996759437","https://openalex.org/W3007240855","https://openalex.org/W3034314779","https://openalex.org/W3035098634","https://openalex.org/W3035574168","https://openalex.org/W3109991383","https://openalex.org/W3161049446","https://openalex.org/W3175120531","https://openalex.org/W3176465513","https://openalex.org/W3201193904","https://openalex.org/W3209905867","https://openalex.org/W3215490691","https://openalex.org/W4225818300","https://openalex.org/W4280596052","https://openalex.org/W4286544732","https://openalex.org/W4306179760","https://openalex.org/W4312604822","https://openalex.org/W4312939270","https://openalex.org/W4352977781","https://openalex.org/W4383066077","https://openalex.org/W4385302112","https://openalex.org/W4386634496","https://openalex.org/W4392502315","https://openalex.org/W6638523607","https://openalex.org/W6639086533","https://openalex.org/W6675606146","https://openalex.org/W6745935785","https://openalex.org/W6771376659","https://openalex.org/W6802966573","https://openalex.org/W6842774165"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W3166204570","https://openalex.org/W3121246613","https://openalex.org/W2132137594","https://openalex.org/W4387967917","https://openalex.org/W4387968151","https://openalex.org/W2093537624","https://openalex.org/W350499458","https://openalex.org/W2062170304"],"abstract_inverted_index":{"Collaborative":[0],"perception":[1,39,80,102,118],"is":[2,47],"crucial":[3],"for":[4,60,100],"addressing":[5],"challenges":[6],"related":[7],"to":[8,26,49,67,72,86],"occlusions":[9],"and":[10,82,133,146,161],"sensor":[11],"limitations":[12],"in":[13,92,131,152,170,176],"autonomous":[14],"driving.":[15],"However,":[16],"it":[17],"necessitates":[18],"accurate":[19],"relative":[20,162],"pose":[21,65,163],"transformations,":[22],"which":[23],"are":[24],"challenging":[25],"obtain":[27],"with":[28],"existing":[29],"navigation":[30],"systems.":[31],"Therefore,":[32],"we":[33,96],"propose":[34],"a":[35,98],"distributed":[36],"object-level":[37,94],"collaborative":[38],"framework":[40,99,115],"called":[41],"GraphPS.":[42],"The":[43],"graph":[44,106,111],"matching":[45],"method":[46,137],"designed":[48],"identify":[50],"correspondences":[51],"between":[52],"co-visible":[53,90],"bounding":[54],"boxes":[55],"from":[56,110],"different":[57],"perspectives,":[58],"allowing":[59],"the":[61,79,87,117,157,167],"calculation":[62],"of":[63,75,78,89,144,166],"optimal":[64],"transformations":[66],"correct":[68],"localization":[69],"errors.":[70],"Furthermore,":[71],"address":[73],"issues":[74],"insufficient":[76],"extension":[77],"range":[81,119],"unreliable":[83],"collaboration":[84,122],"due":[85],"lack":[88],"objects":[91],"multi-agent":[93,171],"fusion,":[95],"introduce":[97],"multi-hop":[101],"fusion":[103],"based":[104],"on":[105,128],"pair":[107],"sequences":[108],"derived":[109],"similarity":[112],"computation.":[113],"This":[114],"extends":[116],"while":[120],"ensuring":[121],"reliability.":[123],"We":[124],"conduct":[125],"extensive":[126],"experiments":[127],"simulated":[129],"datasets":[130],"V2X":[132],"V2V":[134],"scenarios.":[135,180],"Our":[136],"demonstrates":[138],"robust":[139],"performance":[140],"under":[141],"varying":[142],"degrees":[143],"position":[145],"heading":[147],"errors,":[148],"surpassing":[149],"state-of-the-art":[150],"baselines":[151],"accuracy.":[153],"GraphPS":[154],"substantially":[155],"enhances":[156],"object":[158],"association":[159],"accuracy":[160],"calibration":[164],"precision":[165],"baseline":[168],"methods":[169],"collaboration,":[172],"showcasing":[173],"its":[174],"practicality":[175],"real-world":[177],"complex":[178],"traffic":[179]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
