{"id":"https://openalex.org/W4312038392","doi":"https://doi.org/10.1007/s10489-022-04317-2","title":"UAV target following in complex occluded environments with adaptive multi-modal fusion","display_name":"UAV target following in complex occluded environments with adaptive multi-modal fusion","publication_year":2022,"publication_date":"2022-12-20","ids":{"openalex":"https://openalex.org/W4312038392","doi":"https://doi.org/10.1007/s10489-022-04317-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-04317-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-04317-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5103244021","display_name":"Lele Xu","orcid":"https://orcid.org/0000-0002-3225-0472"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lele Xu","raw_affiliation_strings":["Department of Automation, Southeast University, Nanjing, 210018, China","Peng Cheng Laboratory, Shenzhen, 518055, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Southeast University, Nanjing, 210018, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, 518055, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101506354","display_name":"Teng Wang","orcid":"https://orcid.org/0000-0002-1802-0435"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Wang","raw_affiliation_strings":["Department of Automation, Southeast University, Nanjing, 210018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Southeast University, Nanjing, 210018, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059258252","display_name":"Wenzhe Cai","orcid":"https://orcid.org/0000-0003-4610-3454"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhe Cai","raw_affiliation_strings":["Department of Automation, Southeast University, Nanjing, 210018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Southeast University, Nanjing, 210018, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019248683","display_name":"Changyin Sun","orcid":"https://orcid.org/0000-0001-9269-334X"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changyin Sun","raw_affiliation_strings":["Department of Automation, Southeast University, Nanjing, 210018, China","Peng Cheng Laboratory, Shenzhen, 518055, China"],"raw_orcid":"https://orcid.org/0000-0001-9269-334X","affiliations":[{"raw_affiliation_string":"Department of Automation, Southeast University, Nanjing, 210018, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, 518055, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019248683"],"corresponding_institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I76569877"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.1746,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79766633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"53","issue":"13","first_page":"16998","last_page":"17014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9952999949455261,"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":0.8779895305633545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7387436032295227},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7069823145866394},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6990443468093872},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5611563324928284},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.552840530872345},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5475680232048035},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4756847620010376},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.47342613339424133},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4350460171699524},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4272223711013794},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4234223961830139},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1526314616203308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8779895305633545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7387436032295227},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7069823145866394},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6990443468093872},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5611563324928284},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.552840530872345},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5475680232048035},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4756847620010376},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.47342613339424133},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4350460171699524},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4272223711013794},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4234223961830139},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1526314616203308},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-04317-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-04317-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1857884451","https://openalex.org/W2028582586","https://openalex.org/W2130952857","https://openalex.org/W2145339207","https://openalex.org/W2153062547","https://openalex.org/W2154889144","https://openalex.org/W2498335660","https://openalex.org/W2563464808","https://openalex.org/W2735247743","https://openalex.org/W2747329762","https://openalex.org/W2787151471","https://openalex.org/W2795576110","https://openalex.org/W2810853065","https://openalex.org/W2891949671","https://openalex.org/W2903253065","https://openalex.org/W2907380275","https://openalex.org/W2909645133","https://openalex.org/W2913670883","https://openalex.org/W2941870244","https://openalex.org/W2962959294","https://openalex.org/W2963227409","https://openalex.org/W2963534981","https://openalex.org/W2963670497","https://openalex.org/W2964789461","https://openalex.org/W2987346479","https://openalex.org/W2988592481","https://openalex.org/W2991137823","https://openalex.org/W3018195301","https://openalex.org/W3035466700","https://openalex.org/W3043926441","https://openalex.org/W3045055884","https://openalex.org/W3090055165","https://openalex.org/W3092206239","https://openalex.org/W3098060190","https://openalex.org/W3101889877","https://openalex.org/W3104463650","https://openalex.org/W3109557043","https://openalex.org/W3123524846","https://openalex.org/W3129397256","https://openalex.org/W3134016139","https://openalex.org/W3167454939","https://openalex.org/W3203476299","https://openalex.org/W3203632420","https://openalex.org/W4210699143","https://openalex.org/W4281906811"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W3045696640","https://openalex.org/W2063982682","https://openalex.org/W2113565103","https://openalex.org/W2768698792"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}
