{"id":"https://openalex.org/W4413679780","doi":"https://doi.org/10.23919/fusion65864.2025.11123925","title":"Context - Driven Fusion of Drone Data for Improved Antenna Mapping in Coverage Networks","display_name":"Context - Driven Fusion of Drone Data for Improved Antenna Mapping in Coverage Networks","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4413679780","doi":"https://doi.org/10.23919/fusion65864.2025.11123925"},"language":"en","primary_location":{"id":"doi:10.23919/fusion65864.2025.11123925","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11123925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Information Fusion (FUSION)","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":"https://openalex.org/A5109025415","display_name":"Pablo Zubasti Recalde","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Zubasti Recalde","raw_affiliation_strings":["Universidad Carlos III de Madrid,Department of Computer Science and Engineering,Madrid,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid,Department of Computer Science and Engineering,Madrid,Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Paula L\u00f3pez Alvarez","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Paula L\u00f3pez Alvarez","raw_affiliation_strings":["Universidad Carlos III de Madrid,Department of Computer Science and Engineering,Madrid,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid,Department of Computer Science and Engineering,Madrid,Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653268","display_name":"Jes\u00fas Garc\u0131\u0301a","orcid":"https://orcid.org/0000-0003-1768-2688"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jes\u00fas Garc\u00eda Herrero","raw_affiliation_strings":["Universidad Carlos III de Madrid,Department of Computer Science and Engineering,Madrid,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid,Department of Computer Science and Engineering,Madrid,Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059583924","display_name":"Jos\u00e9 M. Molina","orcid":"https://orcid.org/0000-0002-7484-7357"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Manuel Molina L\u00f3pez","raw_affiliation_strings":["Universidad Carlos III de Madrid,Department of Computer Science and Engineering,Madrid,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid,Department of Computer Science and Engineering,Madrid,Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9994000196456909,"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":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9882000088691711,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/drone","display_name":"Drone","score":0.8320327997207642},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6606931686401367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6544182300567627},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.573764443397522},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44223254919052124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2308202087879181},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09845373034477234}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8320327997207642},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6606931686401367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544182300567627},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.573764443397522},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44223254919052124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2308202087879181},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09845373034477234},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion65864.2025.11123925","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion65864.2025.11123925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G3731663842","display_name":null,"funder_award_id":"PID2023-1516050B-C22","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"This":[0,86],"paper":[1],"introduces":[2],"a":[3,29,78,96,123,175],"new":[4],"system":[5,25,60],"for":[6],"mapping":[7,148],"the":[8,24,59,119,146,156,161,170],"coverage":[9,64,97,179],"provided":[10],"by":[11,118],"antennas":[12,38],"using":[13],"autonomous":[14,138],"drones":[15],"and":[16,39,47,84,92,158,173],"data":[17,152],"fusion":[18,157],"techniques.":[19],"The":[20,105,133],"primary":[21],"objective":[22],"of":[23,80,164],"is":[26,89,108],"to":[27,72,94],"leverage":[28],"contextual":[30,57,171],"layer":[31,172],"that":[32,99,127],"provides":[33],"essential":[34],"information":[35],"regarding":[36],"mobile":[37],"their":[40],"characteristics,":[41],"such":[42],"as":[43,77],"type,":[44],"operating":[45],"frequency,":[46],"geodetic":[48],"coordinates,":[49],"among":[50],"other":[51],"relevant":[52],"parameters.":[53],"Based":[54],"on":[55,69],"this":[56],"layer,":[58],"infers":[61],"an":[62],"initial":[63],"map,":[65],"which":[66,121],"relies":[67],"entirely":[68],"analytical":[70],"models":[71],"estimate":[73,88],"free-space":[74],"power":[75,165],"loss":[76,166],"function":[79],"signal":[81],"propagation":[82,163],"distance":[83],"frequency.":[85],"preliminary":[87],"subsequently":[90],"refined":[91],"adjusted":[93],"generate":[95],"map":[98],"more":[100,177],"accurately":[101],"reflects":[102],"real-world":[103],"conditions.":[104],"refinement":[106],"process":[107,126],"carried":[109],"out":[110],"through":[111,155],"measurements":[112],"acquired":[113],"at":[114],"various":[115],"spatial":[116,124,162],"locations":[117],"drone,":[120],"undergo":[122],"regression":[125],"employs":[128],"fully":[129],"connected":[130],"neural":[131],"networks.":[132],"study":[134],"demonstrates":[135],"how":[136],"small-scale":[137],"drone":[139],"missions":[140],"can":[141],"efficiently":[142],"sample":[143],"regions":[144],"within":[145],"target":[147],"area.":[149],"These":[150],"sampled":[151],"points":[153],"enable,":[154],"filtering":[159],"process,":[160],"corrections,":[167],"thereby":[168],"enhancing":[169],"yielding":[174],"significantly":[176],"precise":[178],"map.":[180]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
