{"id":"https://openalex.org/W4395685768","doi":"https://doi.org/10.1109/jiot.2024.3392844","title":"Cross-Modality 3D Multiobject Tracking Under Adverse Weather via Adaptive Hard Sample Mining","display_name":"Cross-Modality 3D Multiobject Tracking Under Adverse Weather via Adaptive Hard Sample Mining","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4395685768","doi":"https://doi.org/10.1109/jiot.2024.3392844"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3392844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3392844","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/A5100295662","display_name":"Lifeng Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Qiao","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0007-0021-6214","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364049","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0001-8345-1736"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045029098","display_name":"Yunji Liang","orcid":"https://orcid.org/0000-0002-8381-8187"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunji Liang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-8381-8187","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071790734","display_name":"Xiaokai Yan","orcid":"https://orcid.org/0000-0002-8139-2231"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokai Yan","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117217082","display_name":"Luwen Huangfu","orcid":"https://orcid.org/0000-0003-3926-7901"},"institutions":[{"id":"https://openalex.org/I26538001","display_name":"San Diego State University","ror":"https://ror.org/0264fdx42","country_code":"US","type":"education","lineage":["https://openalex.org/I26538001"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luwen Huangfu","raw_affiliation_strings":["Fowler College of Business and the Center for Human Dynamics in the Mobile Age, San Diego State University, San Diego, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3926-7901","affiliations":[{"raw_affiliation_string":"Fowler College of Business and the Center for Human Dynamics in the Mobile Age, San Diego State University, San Diego, CA, USA","institution_ids":["https://openalex.org/I26538001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044689658","display_name":"Xiaolong Zheng","orcid":"https://orcid.org/0000-0003-0405-5458"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"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":"Xiaolong Zheng","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0405-5458","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701166","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-9905-3238"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-9905-3238","affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8892,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84680825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"14","first_page":"25268","last_page":"25282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9314000010490417,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9099000096321106,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.6785688996315002},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6413106918334961},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5772724151611328},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5725864768028259},{"id":"https://openalex.org/keywords/adverse-weather","display_name":"Adverse weather","score":0.5150284767150879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3855910897254944},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3642142415046692},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.09890568256378174},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09852370619773865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6785688996315002},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6413106918334961},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5772724151611328},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5725864768028259},{"id":"https://openalex.org/C2992147540","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Adverse weather","level":2,"score":0.5150284767150879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3855910897254944},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3642142415046692},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.09890568256378174},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09852370619773865},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3392844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3392844","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":[{"id":"https://metadata.un.org/sdg/13","score":0.8700000047683716,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2606856552","display_name":null,"funder_award_id":"72225011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7942008881","display_name":null,"funder_award_id":"62372378","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2730104357","https://openalex.org/W2084086966","https://openalex.org/W2364381299","https://openalex.org/W2374430585","https://openalex.org/W3144423903","https://openalex.org/W2377397762"],"abstract_inverted_index":{"3-D":[0,18,58,69,75,106,156],"multiobject":[1],"tracking":[2],"(MOT)":[3],"is":[4],"an":[5,97],"important":[6],"task":[7],"in":[8,49,60,127,134],"numerous":[9],"applications,":[10],"including":[11],"robotics":[12],"and":[13,81,92,131,171],"autonomous":[14],"driving.":[15],"Nevertheless,":[16],"existing":[17],"MOT":[19,59,70],"solutions":[20],"suffer":[21],"from":[22,78],"significant":[23],"performance":[24,47],"degradation":[25],"under":[26],"adverse":[27,61],"weather":[28,62],"conditions.":[29,63],"Inspired":[30],"by":[31,110,118],"the":[32,74,87,105,115,120,124,128,135,142,151,168],"fact":[33],"that":[34,162],"hard":[35,54,99,116,145],"objects":[36],"(e.g.,":[37],"missed":[38,90,169],"detections":[39],"or":[40],"wrongly-associated":[41],"objects)":[42],"are":[43],"more":[44],"constructive":[45],"to":[46,72,103,149],"improvement,":[48],"this":[50],"article,":[51],"we":[52,65,95,139],"leverage":[53],"samples":[55,146],"for":[56,154],"robust":[57,155],"Specifically,":[64],"implement":[66],"a":[67],"cross-modality":[68],"framework":[71],"learn":[73],"region":[76,107],"proposals":[77,108],"point":[79],"clouds":[80],"RGB":[82],"images,":[83],"respectively.":[84],"To":[85],"minimize":[86],"risk":[88],"of":[89,123,144],"detection":[91,170],"wrong":[93,173],"association,":[94],"introduce":[96],"adaptive":[98],"sample":[100],"mining":[101],"scheme":[102],"align":[104],"provided":[109],"two":[111,129],"modalities.":[112],"We":[113],"quantify":[114],"level":[117],"comparing":[119],"confidence":[121],"values":[122],"same":[125],"object":[126],"branches":[130],"their":[132],"distance":[133],"embedding":[136],"space.":[137],"Meanwhile,":[138],"dynamically":[140],"adjust":[141],"weights":[143],"during":[147],"training":[148],"enhance":[150],"representation":[152],"learning":[153],"MOT.":[157],"Extensive":[158],"experimental":[159],"results":[160],"showcase":[161],"our":[163],"proposed":[164],"solution":[165],"effectively":[166],"mitigates":[167],"reduces":[172],"association":[174],"with":[175],"good":[176],"generalization.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}