{"id":"https://openalex.org/W4391697114","doi":"https://doi.org/10.1109/lra.2024.3364450","title":"Collaborative Multi-Object Tracking With Conformal Uncertainty Propagation","display_name":"Collaborative Multi-Object Tracking With Conformal Uncertainty Propagation","publication_year":2024,"publication_date":"2024-02-09","ids":{"openalex":"https://openalex.org/W4391697114","doi":"https://doi.org/10.1109/lra.2024.3364450"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2024.3364450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3364450","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","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/A5102734232","display_name":"Sanbao Su","orcid":"https://orcid.org/0009-0009-2206-4906"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sanbao Su","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026925915","display_name":"Songyang Han","orcid":"https://orcid.org/0000-0001-8314-4832"},"institutions":[{"id":"https://openalex.org/I2800278093","display_name":"Sony Corporation (United States)","ror":"https://ror.org/05k91zb11","country_code":"US","type":"company","lineage":["https://openalex.org/I2800278093"]},{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songyang Han","raw_affiliation_strings":["University of Connecticut, Storrs, CT, USA","Sony AI, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Sony AI, New York, NY, USA","institution_ids":["https://openalex.org/I2800278093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346324","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-0157-6218"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiming Li","raw_affiliation_strings":["Tandon School of Engineering, New York University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622104","display_name":"Zhili Zhang","orcid":"https://orcid.org/0000-0003-3144-7510"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhili Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699151","display_name":"Chen Feng","orcid":"https://orcid.org/0000-0003-3211-1576"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Feng","raw_affiliation_strings":["Tandon School of Engineering, New York University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030060072","display_name":"Caiwen Ding","orcid":"https://orcid.org/0000-0003-0891-1231"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caiwen Ding","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004660487","display_name":"Fei Miao","orcid":"https://orcid.org/0000-0003-0066-4379"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Miao","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102734232"],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":6.8953,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97752932,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"9","issue":"4","first_page":"3323","last_page":"3330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9854999780654907,"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/leverage","display_name":"Leverage (statistics)","score":0.7254214882850647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6771484017372131},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6268744468688965},{"id":"https://openalex.org/keywords/uncertainty-reduction-theory","display_name":"Uncertainty reduction theory","score":0.5767678022384644},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.5413060784339905},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5273982882499695},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.5077499151229858},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4268215000629425},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3788793683052063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34486478567123413},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.18687790632247925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14253020286560059}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7254214882850647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6771484017372131},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6268744468688965},{"id":"https://openalex.org/C94361409","wikidata":"https://www.wikidata.org/wiki/Q7882500","display_name":"Uncertainty reduction theory","level":2,"score":0.5767678022384644},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.5413060784339905},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5273982882499695},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.5077499151229858},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4268215000629425},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3788793683052063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34486478567123413},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.18687790632247925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14253020286560059},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2024.3364450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2024.3364450","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6338203330","display_name":null,"funder_award_id":"CNS-2047354","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G6934560866","display_name":null,"funder_award_id":"CPS-2121391","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G7649423473","display_name":null,"funder_award_id":"FRR-2238968","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G8501092800","display_name":null,"funder_award_id":"CNS-1952096","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1531192956","https://openalex.org/W1989345169","https://openalex.org/W2105934661","https://openalex.org/W2124781496","https://openalex.org/W2151624311","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2517016292","https://openalex.org/W2603203130","https://openalex.org/W2962677013","https://openalex.org/W2963611739","https://openalex.org/W2966257892","https://openalex.org/W2982681137","https://openalex.org/W2996759437","https://openalex.org/W3086436251","https://openalex.org/W3095753995","https://openalex.org/W3109915642","https://openalex.org/W3118351297","https://openalex.org/W3129901004","https://openalex.org/W3165926952","https://openalex.org/W3196204376","https://openalex.org/W3201193904","https://openalex.org/W3204195554","https://openalex.org/W4283021706","https://openalex.org/W4286544732","https://openalex.org/W4286904999","https://openalex.org/W4301459447","https://openalex.org/W4312604822","https://openalex.org/W4382466543","https://openalex.org/W4383097534","https://openalex.org/W4383108597","https://openalex.org/W4386076204","https://openalex.org/W4389987589","https://openalex.org/W6730042731","https://openalex.org/W6745935785","https://openalex.org/W6760955253","https://openalex.org/W6780383567","https://openalex.org/W6784988358","https://openalex.org/W6786023480","https://openalex.org/W6788356050","https://openalex.org/W6798067434","https://openalex.org/W6802004894","https://openalex.org/W6802966573","https://openalex.org/W6842774165","https://openalex.org/W6846947964","https://openalex.org/W6855512891"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W205676371","https://openalex.org/W2115703496","https://openalex.org/W3113336433","https://openalex.org/W2623351834","https://openalex.org/W3196464345","https://openalex.org/W1463619200"],"abstract_inverted_index":{"Object":[0],"detection":[1,14,41,48],"and":[2,15,28,34,50,109,112,121,134,148,155,170,198,200,209],"multiple":[3,58],"object":[4,40,132],"tracking":[5],"(MOT)":[6],"are":[7,18],"essential":[8],"components":[9],"of":[10,36,57,104,192],"self-driving":[11],"systems.":[12],"Accurate":[13],"uncertainty":[16,52,71,93,103,115,163,193,212,219],"quantification":[17,72,194],"both":[19,196],"critical":[20],"for":[21],"onboard":[22],"modules,":[23],"such":[24],"as":[25,82],"perception,":[26],"prediction,":[27,111],"planning,":[29],"to":[30,46,66,68,75,86,127,165,205],"improve":[31,47,206],"the":[32,55,70,83,102,118,166,190,202,207,211],"safety":[33],"robustness":[35],"autonomous":[37],"vehicles.":[38],"Collaborative":[39],"(COD)":[42],"has":[43,63],"been":[44,64],"proposed":[45],"accuracy":[49,154,208],"reduce":[51,210],"by":[53,175],"leveraging":[54],"viewpoints":[56],"agents.":[59],"However,":[60],"little":[61],"attention":[62],"paid":[65],"how":[67],"leverage":[69],"from":[73],"COD":[74,105,197,217],"enhance":[76],"MOT":[77,136,214],"performance.":[78],"In":[79,172],"this":[80,88,114],"letter,":[81],"first":[84,100,203],"attempt":[85,204],"address":[87],"challenge,":[89],"we":[90],"design":[91],"an":[92],"propagation":[94],"framework":[95,99],"called":[96],"MOT-CUP.":[97],"Our":[98],"quantifies":[101],"through":[106,218],"direct":[107],"modeling":[108],"conformal":[110],"propagates":[113],"information":[116],"into":[117],"motion":[119],"prediction":[120],"association":[122],"steps.":[123],"MOT-CUP":[124,140,180,188],"is":[125],"designed":[126],"work":[128],"with":[129],"different":[130],"collaborative":[131,145],"detectors":[133],"baseline":[135],"algorithms.":[137],"We":[138],"evaluate":[139],"on":[141,216],"V2X-Sim,":[142],"a":[143,150,156,182],"comprehensive":[144],"perception":[146],"dataset,":[147],"demonstrate":[149],"2%":[151],"improvement":[152,185],"in":[153,162,186,195,213],"<inline-formula":[157],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[158],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[159],"notation=\"LaTeX\">$2.67\\times$</tex-math></inline-formula>":[160],"reduction":[161],"compared":[164],"baselines,":[167],"e.g.":[168],"SORT":[169],"ByteTrack.":[171],"scenarios":[173],"characterized":[174],"high":[176],"occlusion":[177],"levels,":[178],"our":[179],"demonstrates":[181,189],"noteworthy":[183],"4.01%":[184],"accuracy.":[187],"importance":[191],"MOT,":[199],"provides":[201],"based":[215],"propagation.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}