{"id":"https://openalex.org/W7131084883","doi":"https://doi.org/10.1109/robio66223.2025.11376031","title":"A Dynamic Fire Source Localization Method Based on the Integration of Mobile Platform and Drone","display_name":"A Dynamic Fire Source Localization Method Based on the Integration of Mobile Platform and Drone","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7131084883","doi":"https://doi.org/10.1109/robio66223.2025.11376031"},"language":null,"primary_location":{"id":"doi:10.1109/robio66223.2025.11376031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio66223.2025.11376031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5126630190","display_name":"Yan Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]},{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zeng","raw_affiliation_strings":["School of Mechanical and Automation Engineering, WuYi University,JiangMen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automation Engineering, WuYi University,JiangMen,China","institution_ids":["https://openalex.org/I4210151615","https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126585946","display_name":"Ziren Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]},{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziren Luo","raw_affiliation_strings":["School of Mechanical and Automation Engineering, WuYi University,JiangMen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automation Engineering, WuYi University,JiangMen,China","institution_ids":["https://openalex.org/I4210151615","https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019242403","display_name":"Y. S. Lin","orcid":"https://orcid.org/0000-0001-5905-8336"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]},{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxin Lin","raw_affiliation_strings":["School of Mechanical and Automation Engineering, WuYi University,JiangMen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automation Engineering, WuYi University,JiangMen,China","institution_ids":["https://openalex.org/I4210151615","https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090897442","display_name":"Jianhua Tang","orcid":"https://orcid.org/0000-0002-9870-1686"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]},{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Tang","raw_affiliation_strings":["School of Mechanical and Automation Engineering, WuYi University,JiangMen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automation Engineering, WuYi University,JiangMen,China","institution_ids":["https://openalex.org/I4210151615","https://openalex.org/I98834328"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126641373","display_name":"Li Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]},{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jiang","raw_affiliation_strings":["School of Mechanical and Automation Engineering, WuYi University,JiangMen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automation Engineering, WuYi University,JiangMen,China","institution_ids":["https://openalex.org/I4210151615","https://openalex.org/I98834328"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73535399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"893","last_page":"898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.7419000267982483,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.7419000267982483,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.04600000008940697,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.04170000180602074,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/drone","display_name":"Drone","score":0.5182999968528748},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.5097000002861023},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.503600001335144},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.48649999499320984},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4390000104904175},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4050999879837036},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.396699994802475},{"id":"https://openalex.org/keywords/positioning-technology","display_name":"Positioning technology","score":0.3357999920845032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5853999853134155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5343000292778015},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.5182999968528748},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.5097000002861023},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.503600001335144},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.48649999499320984},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4390000104904175},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43160000443458557},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4050999879837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4009999930858612},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C2778075934","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning technology","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.32280001044273376},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3012000024318695},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.289000004529953},{"id":"https://openalex.org/C123046963","wikidata":"https://www.wikidata.org/wiki/Q22664","display_name":"Geographic coordinate system","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C2776821279","wikidata":"https://www.wikidata.org/wiki/Q2293902","display_name":"Mobile mapping","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.26910001039505005},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.2660999894142151},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C194226119","wikidata":"https://www.wikidata.org/wiki/Q161779","display_name":"Spatial reference system","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio66223.2025.11376031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio66223.2025.11376031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5018781423568726,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1994349244","https://openalex.org/W2909203914","https://openalex.org/W3171549099","https://openalex.org/W3193019773","https://openalex.org/W4226239853","https://openalex.org/W4317383331","https://openalex.org/W4390099576","https://openalex.org/W4404820547","https://openalex.org/W4406810538","https://openalex.org/W4408199339","https://openalex.org/W4408222640","https://openalex.org/W4408399865","https://openalex.org/W4410466744"],"related_works":[],"abstract_inverted_index":{"To":[0,161],"support":[1],"fire":[2,16,33,58,75,149,158,173],"rescue":[3],"operations":[4],"and":[5,60,85,101,111,147,192],"enhance":[6],"firefighter":[7],"safety":[8],"during":[9],"work,":[10],"this":[11],"paper":[12],"proposes":[13],"a":[14,102,143],"dynamic":[15,109,144],"source":[17,34,59,76,150,159],"localization":[18,35,195,213],"method":[19,30],"that":[20,203],"integrates":[21],"unmanned":[22],"aerial":[23],"vehicle":[24],"(UAV)":[25],"with":[26,67,90,180],"mobile":[27,83,135],"platform.":[28],"This":[29],"enables":[31],"accurate":[32,155],"while":[36],"adapting":[37],"specifically":[38],"to":[39,73,96,107,189,209],"complex":[40],"industrial":[41],"environments.":[42],"The":[43,200],"specific":[44],"technical":[45],"approach":[46],"is":[47,105,206],"as":[48,137,142,151],"follows:":[49],"First,":[50],"for":[51],"determining":[52],"the":[53,57,82,91,124,134,138,140,148,152,163,181,193,210],"coordinates":[54],"of":[55,157],"both":[56],"UAV,":[61,86],"we":[62,127],"integrate":[63],"distance":[64],"sensor":[65],"data":[66,121],"color-brightness":[68],"feature-based":[69],"image":[70],"recognition":[71],"technology":[72],"achieve":[74],"localization.":[77],"For":[78],"coordinate":[79,115,132],"alignment":[80],"between":[81],"platform":[84,136],"ArUco":[87],"markers":[88],"combined":[89],"SolvePnP":[92],"algorithm":[93],"are":[94],"employed":[95],"perform":[97],"relative":[98],"pose":[99],"estimation,":[100],"Kalman":[103],"filter":[104],"incorporated":[106],"provide":[108],"compensation":[110],"suppress":[112],"noise":[113],"in":[114,169],"data.":[116],"Second,":[117],"leveraging":[118],"UAV":[119,141],"trajectory":[120],"recorded":[122],"by":[123,186,198],"flight":[125],"odometer,":[126],"establish":[128],"an":[129,170],"on-site":[130],"Cartesian":[131],"system-with":[133],"origin,":[139],"observation":[145],"node,":[146],"target-ultimately":[153],"enabling":[154],"calculation":[156],"coordinates.":[160],"validate":[162],"method's":[164],"effectiveness,":[165],"experiments":[166],"were":[167],"conducted":[168],"indoor":[171],"simulated":[172],"scenario.":[174],"Measurement":[175],"accuracy":[176],"was":[177],"within":[178],"\u00b1lmm,":[179],"maximum":[182],"detection":[183],"error":[184],"reduced":[185],"34.37%":[187],"compared":[188],"traditional":[190,211],"methods,":[191],"minimum":[194],"time":[196],"shortened":[197],"45.68%.":[199],"results":[201],"demonstrate":[202],"its":[204],"performance":[205],"significantly":[207],"superior":[208],"manual":[212],"approach.":[214]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-24T00:00:00"}
