{"id":"https://openalex.org/W4410393341","doi":"https://doi.org/10.1109/tits.2025.3564977","title":"Unlocking Drone Perception in Low AGL Heights: Progressive Semi-Supervised Learning for Ground-to-Aerial Perception Knowledge Transfer","display_name":"Unlocking Drone Perception in Low AGL Heights: Progressive Semi-Supervised Learning for Ground-to-Aerial Perception Knowledge Transfer","publication_year":2025,"publication_date":"2025-05-15","ids":{"openalex":"https://openalex.org/W4410393341","doi":"https://doi.org/10.1109/tits.2025.3564977"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3564977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3564977","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","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/A5085263462","display_name":"Junjie Hu","orcid":"https://orcid.org/0000-0002-1911-4361"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjie Hu","raw_affiliation_strings":["School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1911-4361","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064015146","display_name":"Chenyou Fan","orcid":"https://orcid.org/0000-0002-9835-8507"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyou Fan","raw_affiliation_strings":["School of Artificial Intelligence, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9835-8507","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054882290","display_name":"Mete \u00d6zay","orcid":"https://orcid.org/0000-0002-7189-7260"},"institutions":[{"id":"https://openalex.org/I4210117523","display_name":"Samsung (United Kingdom)","ror":"https://ror.org/01w6gjq94","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210117523"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mete Ozay","raw_affiliation_strings":["Samsung Research and Development Institute, Surrey, U.K"],"raw_orcid":"https://orcid.org/0000-0002-7189-7260","affiliations":[{"raw_affiliation_string":"Samsung Research and Development Institute, Surrey, U.K","institution_ids":["https://openalex.org/I4210117523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037200701","display_name":"Feng Hua","orcid":"https://orcid.org/0009-0006-5816-822X"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hua Feng","raw_affiliation_strings":["Guangzhou iMapCloud Intelligent Technology Company Ltd., Guangzhou, China","Guangzhou iMapCloud Intelligent Technology Company Ltd, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou iMapCloud Intelligent Technology Company Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I4210153682"]},{"raw_affiliation_string":"Guangzhou iMapCloud Intelligent Technology Company Ltd, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011958968","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0002-2990-9205"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076185690","display_name":"Tin Lun Lam","orcid":"https://orcid.org/0000-0002-6363-1446"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tin Lun Lam","raw_affiliation_strings":["School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6363-1446","affiliations":[{"raw_affiliation_string":"School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085263462"],"corresponding_institution_ids":["https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":2.1733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88387126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"26","issue":"7","first_page":"9516","last_page":"9528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9936000108718872,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9936000108718872,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9825999736785889,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9713000059127808,"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/perception","display_name":"Perception","score":0.781650960445404},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.7355371713638306},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6366421580314636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48815447092056274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43798360228538513},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3231351971626282},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.313793808221817},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08778741955757141},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0603657066822052}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.781650960445404},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.7355371713638306},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6366421580314636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48815447092056274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43798360228538513},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3231351971626282},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.313793808221817},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08778741955757141},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0603657066822052},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3564977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3564977","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G750753927","display_name":null,"funder_award_id":"RCBS20231211090736065","funder_id":"https://openalex.org/F4320336736","funder_display_name":"Chengdu Science and Technology Program"},{"id":"https://openalex.org/G7723461095","display_name":null,"funder_award_id":"2023A151511","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320336736","display_name":"Chengdu Science and Technology Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2340897893","https://openalex.org/W2471962767","https://openalex.org/W2615547864","https://openalex.org/W2787091153","https://openalex.org/W2794268423","https://openalex.org/W2797523789","https://openalex.org/W2883171824","https://openalex.org/W2913012218","https://openalex.org/W2963037989","https://openalex.org/W2963256208","https://openalex.org/W2963911235","https://openalex.org/W2968428872","https://openalex.org/W2972887266","https://openalex.org/W2984353870","https://openalex.org/W2992308087","https://openalex.org/W2995484963","https://openalex.org/W3028752951","https://openalex.org/W3035098634","https://openalex.org/W3084065756","https://openalex.org/W3088884252","https://openalex.org/W3090375251","https://openalex.org/W3092151103","https://openalex.org/W3092669602","https://openalex.org/W3111506096","https://openalex.org/W3117430580","https://openalex.org/W3120562181","https://openalex.org/W3121342376","https://openalex.org/W3132407872","https://openalex.org/W3160102341","https://openalex.org/W3198062544","https://openalex.org/W3205100603","https://openalex.org/W3207405075","https://openalex.org/W3210997132","https://openalex.org/W3214102707","https://openalex.org/W4283721125","https://openalex.org/W4285133995","https://openalex.org/W4285601468","https://openalex.org/W4285818751","https://openalex.org/W4287322212","https://openalex.org/W4319303291","https://openalex.org/W4380520357","https://openalex.org/W4385654303","https://openalex.org/W4386075981","https://openalex.org/W4386083148","https://openalex.org/W4386918840","https://openalex.org/W4387917749","https://openalex.org/W4387968434","https://openalex.org/W4390064424","https://openalex.org/W4402727005","https://openalex.org/W6675944832","https://openalex.org/W6715189028","https://openalex.org/W6727249380","https://openalex.org/W6745136726","https://openalex.org/W6762913911","https://openalex.org/W6766978945","https://openalex.org/W6784286987","https://openalex.org/W6788329692","https://openalex.org/W6856102174","https://openalex.org/W6869023556"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4212885606"],"abstract_inverted_index":{"We":[0],"explore":[1],"the":[2,23,70,93,109,118,143,172,176],"novel":[3],"challenge":[4],"of":[5,108,167],"drone":[6,63],"perception":[7,52,64],"across":[8],"varying":[9],"low":[10],"AGL":[11],"(above":[12],"ground":[13,25,71],"level)":[14],"heights,":[15],"a":[16,57,87,114,135,162],"task":[17],"essential":[18],"for":[19,32,62,171],"dynamic":[20],"tasks,":[21],"unlike":[22],"fixed":[24],"viewpoint":[26,44,72,89,112,131],"in":[27],"autonomous":[28],"driving.":[29],"Supervised":[30],"learning":[31,60,140],"this":[33,47],"incurs":[34],"high":[35],"annotation":[36],"costs,":[37],"and":[38,55,73,133,155,169,175,181],"current":[39],"semi-supervised":[40,59],"methods":[41],"struggle":[42],"with":[43],"differences.":[45],"In":[46],"paper,":[48],"we":[49,151],"introduce":[50],"ground-to-aerial":[51],"knowledge":[53],"transfer":[54],"propose":[56],"progressive":[58,136],"framework":[61,80],"using":[65,113],"only":[66],"labeled":[67],"data":[68,75],"from":[69,76],"unlabeled":[74],"flying":[77,145],"viewpoints.":[78],"The":[79],"hinges":[81],"on":[82,117,185],"four":[83],"key":[84],"components:":[85],"1)":[86],"dense":[88],"sampling":[90],"strategy,":[91,138],"segmenting":[92],"vertical":[94],"flight":[95],"height":[96],"range":[97],"into":[98],"evenly":[99],"distributed":[100],"intervals;":[101],"2)":[102],"nearest":[103,110],"neighbor":[104,111],"pseudo-labeling,":[105],"inferring":[106],"labels":[107],"model":[115],"learned":[116],"preceding":[119],"viewpoint;":[120],"3)":[121],"MixView,":[122],"generating":[123],"augmented":[124],"images":[125],"among":[126],"different":[127],"viewpoints":[128],"to":[129],"mitigate":[130],"differences;":[132],"4)":[134],"distillation":[137],"gradually":[139],"until":[141],"reaching":[142],"maximum":[144],"height.":[146],"To":[147],"validate":[148],"our":[149],"approach,":[150],"create":[152],"both":[153],"synthesized":[154,173],"real-world":[156],"datasets.":[157],"Extensive":[158],"experimental":[159],"analyses":[160],"reveal":[161],"remarkable":[163],"relative":[164],"accuracy":[165],"improvement":[166],"25.7%":[168],"16.9%":[170],"dataset":[174],"real":[177],"world,":[178],"respectively.":[179],"Code":[180],"datasets":[182],"are":[183],"available":[184],"https://github.com/FreeformRobotics/Progressive-Self-Distillation-for-Ground-to-Aerial-Perception-Knowledge-Transfer.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}