{"id":"https://openalex.org/W4416923875","doi":"https://doi.org/10.1109/iccais67508.2025.11262100","title":"Behavior Recognition Based on Multimodal Information of Unmanned Aerial Vehicle Swarm of DeepSeek V3","display_name":"Behavior Recognition Based on Multimodal Information of Unmanned Aerial Vehicle Swarm of DeepSeek V3","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W4416923875","doi":"https://doi.org/10.1109/iccais67508.2025.11262100"},"language":null,"primary_location":{"id":"doi:10.1109/iccais67508.2025.11262100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais67508.2025.11262100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Xuanyuan Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanyuan Shi","raw_affiliation_strings":["School of Electrical and Control Engineering, Shaanxi University of Science and Technology,Xi&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444156","display_name":"Weifeng Liu","orcid":"https://orcid.org/0000-0002-5388-9080"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Liu","raw_affiliation_strings":["School of Electrical and Control Engineering, Shaanxi University of Science and Technology,Xi&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067529047","display_name":"Wanyu Li","orcid":"https://orcid.org/0000-0002-5964-1545"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyu Li","raw_affiliation_strings":["School of Electrical and Control Engineering, Shaanxi University of Science and Technology,Xi&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shaanxi University of Science and Technology,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I51622183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51622183"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40403417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.32519999146461487,"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/T11133","display_name":"UAV Applications and Optimization","score":0.32519999146461487,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.24150000512599945,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.08789999783039093,"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/robustness","display_name":"Robustness (evolution)","score":0.691100001335144},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5960999727249146},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4431000053882599},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.39590001106262207},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3889000117778778},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.37560001015663147},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.3675000071525574}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.691100001335144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6621999740600586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5993000268936157},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5960999727249146},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.39590001106262207},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3889000117778778},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.37560001015663147},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.3427000045776367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3359000086784363},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2628999948501587}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais67508.2025.11262100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais67508.2025.11262100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8579713843","display_name":null,"funder_award_id":"62376147","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":9,"referenced_works":["https://openalex.org/W72739845","https://openalex.org/W1972373011","https://openalex.org/W2098764240","https://openalex.org/W2762428691","https://openalex.org/W2780032379","https://openalex.org/W2963272312","https://openalex.org/W3092163236","https://openalex.org/W4256157768","https://openalex.org/W4409217930"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3,47,81,111],"method":[4,125],"for":[5,73,144,155,165],"behavior":[6,32,76,100,127],"recognition":[7,33],"of":[8,25,58,77,88,99,114,123,169],"UAV":[9,30,78,170],"swarms":[10],"based":[11],"on":[12],"multimodal":[13],"information":[14],"using":[15],"the":[16,23,55,67,75,94,120,133,141,150],"DeepSeek-V3":[17,59,68],"large":[18,69],"model,":[19],"aiming":[20],"to":[21,62,92,96],"address":[22],"issues":[24],"accuracy":[26,122],"and":[27,54,80,104,149],"robustness":[28],"in":[29,34,110,126],"swarm":[31,112],"complex":[35],"dynamic":[36,43],"scenarios.":[37],"By":[38],"fusing":[39],"static":[40],"attributes":[41],"with":[42],"radar":[44],"measurement":[45],"data,":[46],"unified":[48],"input":[49],"representation":[50],"framework":[51],"is":[52,60,71,85,138,147],"constructed,":[53],"self-attention":[56],"mechanism":[57],"used":[61],"model":[63,70,95],"spatiotemporal":[64],"dependencies.":[65],"Innovatively,":[66],"proposed":[72],"recognizing":[74],"swarms,":[79],"prompt":[82],"optimization":[83],"strategy":[84],"adopted":[86],"instead":[87],"traditional":[89],"fine-tuning":[90],"methods":[91],"guide":[93],"output":[97],"results":[98],"classification,":[101],"formation":[102,134],"matching,":[103],"anomaly":[105,145],"detection.":[106],"Experiments":[107],"show":[108],"that":[109],"composed":[113],"4":[115],"Matrice":[116],"300":[117],"RTK":[118],"UAVs,":[119],"average":[121],"this":[124],"classification":[128],"tasks":[129],"reaches":[130],"89.3":[131],"%,":[132,140],"pattern":[135],"matching":[136],"degree":[137],"84.7":[139],"comprehensive$\\mathbf{F":[142],"1}$score":[143],"detection":[146],"0.84,":[148],"mean":[151],"absolute":[152],"error":[153],"(MAE)":[154],"trajectory":[156],"prediction":[157],"is$\\mathbf{1.":[158],"1":[159],"5}$meters,":[160],"providing":[161],"an":[162],"efficient":[163],"solution":[164],"intelligent":[166],"collaborative":[167],"control":[168],"swarms.":[171]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-12-02T00:00:00"}
