{"id":"https://openalex.org/W4405786615","doi":"https://doi.org/10.1109/iros58592.2024.10802108","title":"Prediction of Acoustic Communication Performance for AUVs using Gaussian Process Classification","display_name":"Prediction of Acoustic Communication Performance for AUVs using Gaussian Process Classification","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405786615","doi":"https://doi.org/10.1109/iros58592.2024.10802108"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10802108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":"https://openalex.org/A5101523140","display_name":"Yifei Gao","orcid":"https://orcid.org/0000-0003-1502-4016"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yifei Gao","raw_affiliation_strings":["Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088232727","display_name":"Harun Yetkin","orcid":"https://orcid.org/0000-0001-5611-9041"},"institutions":[{"id":"https://openalex.org/I254571519","display_name":"Bartin University","ror":"https://ror.org/03te4vd35","country_code":"TR","type":"education","lineage":["https://openalex.org/I254571519"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Harun Yetkin","raw_affiliation_strings":["Bartin University"],"affiliations":[{"raw_affiliation_string":"Bartin University","institution_ids":["https://openalex.org/I254571519"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024410951","display_name":"McMahon James","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"McMahon James","raw_affiliation_strings":["US Naval Research Laboratory,Acoustics Division, Code 7130,Washington, D.C"],"affiliations":[{"raw_affiliation_string":"US Naval Research Laboratory,Acoustics Division, Code 7130,Washington, D.C","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087466967","display_name":"Daniel J. Stilwell","orcid":"https://orcid.org/0000-0002-5410-2024"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel J. Stilwell","raw_affiliation_strings":["Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Bradley Department of Electrical and Computer Engineering,Blacksburg,VA,USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101523140"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.7108,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71898706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1244","last_page":"1251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9793000221252441,"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"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9793000221252441,"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/gaussian-process","display_name":"Gaussian process","score":0.6973456740379333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6926795244216919},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6098750233650208},{"id":"https://openalex.org/keywords/underwater-acoustic-communication","display_name":"Underwater acoustic communication","score":0.4137961268424988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3941936790943146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.351806104183197},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3332902193069458},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.328696072101593},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.20892348885536194},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14779892563819885}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6973456740379333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6926795244216919},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6098750233650208},{"id":"https://openalex.org/C169111936","wikidata":"https://www.wikidata.org/wiki/Q424098","display_name":"Underwater acoustic communication","level":3,"score":0.4137961268424988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3941936790943146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.351806104183197},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3332902193069458},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.328696072101593},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.20892348885536194},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14779892563819885},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10802108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10802108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332181","display_name":"National Oceanic and Atmospheric Administration","ror":"https://ror.org/02z5nhe81"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1514928307","https://openalex.org/W1516111018","https://openalex.org/W2012243161","https://openalex.org/W2106200370","https://openalex.org/W2170984917","https://openalex.org/W2764320286","https://openalex.org/W2802789914","https://openalex.org/W2916031314","https://openalex.org/W2945573940","https://openalex.org/W2951274974","https://openalex.org/W2982286341","https://openalex.org/W3001846557","https://openalex.org/W3005915308","https://openalex.org/W3163893680","https://openalex.org/W4211049957","https://openalex.org/W4283783984","https://openalex.org/W4378716065","https://openalex.org/W6605566567","https://openalex.org/W6631732945","https://openalex.org/W6638043373","https://openalex.org/W6640231202","https://openalex.org/W6676327744","https://openalex.org/W6738403115"],"related_works":["https://openalex.org/W2482730279","https://openalex.org/W2961085424","https://openalex.org/W2133509944","https://openalex.org/W4224009465","https://openalex.org/W2077946758","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W1964286703","https://openalex.org/W2169866437","https://openalex.org/W3056417032"],"abstract_inverted_index":{"Cooperating":[0],"autonomous":[1],"underwater":[2,19],"vehicles":[3,28],"(AUVs)":[4],"often":[5],"rely":[6],"on":[7,70],"acoustic":[8,20],"communication":[9,21,25,68,81,119,153,166,179],"to":[10,115,125,134],"coordinate":[11],"their":[12],"actions":[13],"effectively.":[14],"However,":[15],"the":[16,24,40,64,71,74,88,108,117,141,147,151],"reliability":[17],"of":[18,32,66,73,103,110,150,161,189],"decreases":[22],"as":[23,87],"range":[26,42,89],"between":[27,90],"increases.":[29],"Consequently,":[30],"teams":[31],"cooperating":[33],"AUVs":[34],"typically":[35],"make":[36],"conservative":[37],"assumptions":[38],"about":[39],"maximum":[41],"at":[43,97],"which":[44],"they":[45],"can":[46],"communicate":[47],"reliably.":[48],"To":[49],"address":[50],"this":[51,104,126],"limitation,":[52],"we":[53,106,145],"propose":[54],"a":[55,61,98,162,187],"novel":[56],"approach":[57,174],"that":[58,160],"involves":[59],"learning":[60],"map":[62,82,154,167],"representing":[63],"probability":[65,152],"successful":[67],"based":[69],"locations":[72],"transmitting":[75],"and":[76,94,131,180],"receiving":[77],"vehicles.":[78],"This":[79],"probabilistic":[80],"accounts":[83],"for":[84],"factors":[85],"such":[86],"vehicles,":[91],"environmental":[92],"noise,":[93],"multi-path":[95],"effects":[96],"given":[99],"location.":[100],"In":[101],"pursuit":[102],"goal,":[105],"investigate":[107],"application":[109],"Gaussian":[111,170],"process":[112,171],"binary":[113,128,157],"classification":[114,129,158],"generate":[116],"desired":[118],"map.":[120],"We":[121],"specialize":[122],"existing":[123],"results":[124],"specific":[127],"problem":[130],"explore":[132],"methods":[133],"incorporate":[135],"uncertainty":[136],"in":[137],"vehicle":[138],"location":[139],"into":[140],"mapping":[142],"process.":[143],"Furthermore,":[144],"compare":[146],"prediction":[148],"performance":[149],"generated":[155,168],"using":[156,169,178],"with":[159,186],"signal-to-noise":[163],"ratio":[164],"(SNR)":[165],"regression.":[172],"Our":[173],"is":[175],"experimentally":[176],"validated":[177],"navigation":[181],"data":[182],"collected":[183],"during":[184],"trials":[185],"pair":[188],"Virginia":[190],"Tech":[191],"690":[192],"AUVs.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}