{"id":"https://openalex.org/W4415970149","doi":"https://doi.org/10.23919/icmu65253.2025.11219135","title":"HILS: A UWB-Based Hybrid Indoor Localization Scheme for Multi-Drone Environments","display_name":"HILS: A UWB-Based Hybrid Indoor Localization Scheme for Multi-Drone Environments","publication_year":2025,"publication_date":"2025-09-10","ids":{"openalex":"https://openalex.org/W4415970149","doi":"https://doi.org/10.23919/icmu65253.2025.11219135"},"language":null,"primary_location":{"id":"doi:10.23919/icmu65253.2025.11219135","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icmu65253.2025.11219135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fifteenth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)","raw_type":"proceedings-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":null,"display_name":"Juwon Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Juwon Hong","raw_affiliation_strings":["Sungkyunkwan University,Department of Computer Science &#x0026; Engineering,Suwon,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Department of Computer Science &#x0026; Engineering,Suwon,Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050526299","display_name":"Jaehoon Jeong","orcid":"https://orcid.org/0000-0001-8490-758X"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehoon Paul Jeong","raw_affiliation_strings":["Sungkyunkwan University,Department of Computer Science &#x0026; Engineering,Suwon,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Department of Computer Science &#x0026; Engineering,Suwon,Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31142028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.006399999838322401,"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/T11133","display_name":"UAV Applications and Optimization","score":0.004600000102072954,"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/multilateration","display_name":"Multilateration","score":0.876800000667572},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.7098000049591064},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.6887999773025513},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.6455000042915344},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6097999811172485},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5063999891281128},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4950000047683716},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4165000021457672}],"concepts":[{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.876800000667572},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.7098000049591064},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.6887999773025513},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.6455000042915344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6416000127792358},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6097999811172485},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5321999788284302},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5063999891281128},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4950000047683716},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4165000021457672},{"id":"https://openalex.org/C163150518","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Time of arrival","level":3,"score":0.4147999882698059},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35030001401901245},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30079999566078186},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2831999957561493},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2793000042438507},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2540000081062317},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icmu65253.2025.11219135","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icmu65253.2025.11219135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fifteenth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7232876218","display_name":null,"funder_award_id":"2023R1A2C2002990","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2183794822","https://openalex.org/W2402514617","https://openalex.org/W2557035147","https://openalex.org/W2891866400","https://openalex.org/W2894578575","https://openalex.org/W2964029185","https://openalex.org/W4293660999","https://openalex.org/W4294891495","https://openalex.org/W4388854238","https://openalex.org/W4398236404"],"related_works":[],"abstract_inverted_index":{"This":[0,93],"paper":[1],"presents":[2],"a":[3,21,52,121],"Hybrid":[4],"Indoor":[5],"Localization":[6],"Scheme":[7],"(HILS)":[8],"for":[9,37,46],"drones":[10,89],"operating":[11],"in":[12,90,110],"indoor":[13,91],"environments,":[14],"utilizing":[15],"Ultra-Wideband":[16],"(UWB)":[17],"technology":[18],"to":[19,25,83,104],"provision":[20],"high":[22],"positioning":[23],"accuracy":[24,87,119],"the":[26,63,85,97,117],"drones.":[27,55],"The":[28,75],"proposed":[29],"system":[30],"combines":[31],"Time":[32],"Difference":[33],"of":[34,54,88,100,120],"Arrival":[35],"(TDoA)":[36],"initial":[38],"absolute":[39,59],"position":[40],"estimation":[41],"and":[42,102],"Two-Way":[43],"Ranging":[44],"(TWR)":[45],"precise":[47],"relative":[48],"distance":[49],"measurements":[50],"between":[51],"pair":[53],"After":[56],"computing":[57],"their":[58],"positions":[60,69],"via":[61],"TDoA,":[62],"inter-drone":[64],"distances":[65],"derived":[66],"from":[67],"these":[68],"are":[70,77],"compared":[71],"against":[72],"TWR-measured":[73],"distances.":[74],"discrepancies":[76],"iteratively":[78],"reduced":[79],"by":[80],"particle":[81],"filtering":[82],"enhance":[84],"positional":[86],"environments.":[92],"fusion":[94],"approach":[95],"leverages":[96],"complementary":[98],"strengths":[99],"TDoA":[101],"TWR":[103],"reduce":[105],"localization":[106,118],"errors.":[107],"Experimental":[108],"results":[109],"simulation":[111],"demonstrate":[112],"that":[113],"HILS":[114],"significantly":[115],"improves":[116],"scalable":[122],"TDoA-based":[123],"system.":[124]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-11-06T00:00:00"}
