{"id":"https://openalex.org/W4415273367","doi":"https://doi.org/10.1109/iccv51701.2025.02529","title":"MCOP: Multi-UAV Collaborative Occupancy Prediction","display_name":"MCOP: Multi-UAV Collaborative Occupancy Prediction","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4415273367","doi":"https://doi.org/10.1109/iccv51701.2025.02529"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.02529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.12679","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zefu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefu Lin","raw_affiliation_strings":["University of Chinese Academy of Sciences (UCAS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences (UCAS)","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362718","display_name":"Wenbo Chen","orcid":"https://orcid.org/0000-0002-6338-7658"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Chen","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences (CASIA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053885185","display_name":"Xiaojuan Jin","orcid":"https://orcid.org/0000-0002-8634-3420"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojuan Jin","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences (CASIA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102782996","display_name":"Yuran Yang","orcid":"https://orcid.org/0009-0004-5292-2469"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuran Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications (BUPT)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications (BUPT)","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064754069","display_name":"Lue Fan","orcid":"https://orcid.org/0000-0002-2349-0538"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lue Fan","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences (CASIA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences (CASIA)","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351209","display_name":"Yixin Zhang","orcid":"https://orcid.org/0000-0002-6669-4995"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Zhang","raw_affiliation_strings":["Tencent","University of Chinese Academy of Sciences (UCAS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences (UCAS)","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459687","display_name":"Yufeng Zhang","orcid":"https://orcid.org/0000-0002-5925-9389"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Zhang","raw_affiliation_strings":["Tencent","University of Chinese Academy of Sciences (UCAS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences (UCAS)","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101589394","display_name":"Zhaoxiang Zhang","orcid":"https://orcid.org/0000-0003-2587-839X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxiang Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences (UCAS)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences (UCAS)","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"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":0.24649271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"27242","last_page":"27251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9947999715805054,"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":0.9947999715805054,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9855999946594238,"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/T11489","display_name":"Air Traffic Management and Optimization","score":0.9790999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6373000144958496},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5964999794960022},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.579200029373169},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5764999985694885},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5371000170707703},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4041000008583069},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.38940000534057617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776199996471405},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6373000144958496},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5964999794960022},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.579200029373169},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5764999985694885},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5371000170707703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4997999966144562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42160001397132874},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4016999900341034},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.30390000343322754},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.02529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.02529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.12679","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.12679","pdf_url":"https://arxiv.org/pdf/2510.12679","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2510.12679","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.12679","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.12679","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.12679","pdf_url":"https://arxiv.org/pdf/2510.12679","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3271378985","display_name":null,"funder_award_id":"U21B2042,62320106010","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":[],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Vehicle":[2],"(UAV)":[3],"swarm":[4],"systems":[5],"necessitate":[6],"efficient":[7],"collaborative":[8,58,147],"perception":[9],"mechanisms":[10],"for":[11,122],"diverse":[12],"operational":[13],"scenarios.":[14],"Current":[15],"Bird's":[16],"Eye":[17],"View":[18],"(BEV)-based":[19],"approaches":[20],"exhibit":[21],"two":[22,124],"main":[23],"limitations:":[24],"bounding-box":[25],"representations":[26],"fail":[27],"to":[28,90,102,111,153],"capture":[29],"complete":[30],"semantic":[31],"and":[32,38,69,77,106,128,130],"geometric":[33],"information":[34],"of":[35,114,157],"the":[36,112],"scene,":[37],"their":[39],"performance":[40],"significantly":[41,144],"degrades":[42],"when":[43],"encountering":[44],"undefined":[45],"or":[46],"occluded":[47],"objects.":[48],"To":[49,81],"address":[50],"these":[51],"limitations,":[52],"we":[53,84,118],"propose":[54],"a":[55,73,97,155],"novel":[56],"multi-UAV":[57],"occupancy":[59],"prediction":[60],"framework.":[61],"Our":[62],"framework":[63],"effectively":[64],"preserves":[65],"3D":[66],"spatial":[67],"structures":[68],"semantics":[70],"through":[71],"integrating":[72],"Spatial-Aware":[74],"Feature":[75,79,88],"Encoder":[76],"Cross-Agent":[78],"Integration.":[80],"enhance":[82],"efficiency,":[83],"further":[85],"introduce":[86],"Altitude-Aware":[87],"Reduction":[89],"compactly":[91],"represent":[92],"scene":[93],"information,":[94],"along":[95],"with":[96],"Dual-Mask":[98],"Perceptual":[99],"Guidance":[100],"mechanism":[101],"adaptively":[103],"select":[104],"features":[105],"reduce":[107],"communication":[108,151],"overhead.":[109],"Due":[110],"absence":[113],"suitable":[115],"benchmark":[116],"datasets,":[117],"extend":[119],"three":[120],"datasets":[121,126],"evaluation:":[123],"virtual":[125],"(Air-to-Pred-Occ":[127],"UAV3D-Occ)":[129],"one":[131],"real-world":[132],"dataset":[133],"(GauUScene-Occ).":[134],"Experiments":[135],"results":[136],"demonstrate":[137],"that":[138],"our":[139],"method":[140],"achieves":[141],"state-of-the-art":[142],"accuracy,":[143],"outperforming":[145],"existing":[146],"methods":[148],"while":[149],"reducing":[150],"overhead":[152],"only":[154],"fraction":[156],"previous":[158],"approaches.":[159]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-17T00:00:00"}
