{"id":"https://openalex.org/W2891266436","doi":"https://doi.org/10.1109/icra.2018.8461223","title":"DroneEARS: Robust Acoustic Source Localization with Aerial Drones","display_name":"DroneEARS: Robust Acoustic Source Localization with Aerial Drones","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2891266436","doi":"https://doi.org/10.1109/icra.2018.8461223","mag":"2891266436"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2018.8461223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8461223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","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/A5017091241","display_name":"Prasant Misra","orcid":"https://orcid.org/0000-0002-7861-8711"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Prasant Misra","raw_affiliation_strings":["TCS Research &#x0026; Innovation, Embedded Systems and Robotics, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"TCS Research &#x0026; Innovation, Embedded Systems and Robotics, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051721552","display_name":"Anil Kumar","orcid":"https://orcid.org/0000-0003-3658-4944"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Anil Kumar","raw_affiliation_strings":["TCS Research &#x0026; Innovation, Embedded Systems and Robotics, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"TCS Research &#x0026; Innovation, Embedded Systems and Robotics, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108230489","display_name":"Pragyan Mohapatra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pragyan Mohapatra","raw_affiliation_strings":["TCS Research &#x0026; Innovation, Embedded Systems and Robotics, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"TCS Research &#x0026; Innovation, Embedded Systems and Robotics, Bangalore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015757476","display_name":"P. Balamuralidhar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. Balamuralidhar","raw_affiliation_strings":["TCS Research &#x0026; Innovation, Embedded Systems and Robotics, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"TCS Research &#x0026; Innovation, Embedded Systems and Robotics, Bangalore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017091241"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4954,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.63879865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6894530653953552},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6568064093589783},{"id":"https://openalex.org/keywords/binaural-recording","display_name":"Binaural recording","score":0.6309329867362976},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.6000100374221802},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5608688592910767},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.4745141863822937},{"id":"https://openalex.org/keywords/acoustic-source-localization","display_name":"Acoustic source localization","score":0.43241047859191895},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3625737130641937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3102771043777466},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.29001203179359436},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.18994438648223877},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16584259271621704},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.10574871301651001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894530653953552},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6568064093589783},{"id":"https://openalex.org/C201247586","wikidata":"https://www.wikidata.org/wiki/Q5612967","display_name":"Binaural recording","level":2,"score":0.6309329867362976},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.6000100374221802},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5608688592910767},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.4745141863822937},{"id":"https://openalex.org/C93240960","wikidata":"https://www.wikidata.org/wiki/Q217270","display_name":"Acoustic source localization","level":3,"score":0.43241047859191895},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3625737130641937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3102771043777466},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.29001203179359436},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.18994438648223877},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16584259271621704},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.10574871301651001},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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:10.1109/icra.2018.8461223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2018.8461223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W167456299","https://openalex.org/W1518672027","https://openalex.org/W1984425709","https://openalex.org/W2005541721","https://openalex.org/W2029661668","https://openalex.org/W2060108923","https://openalex.org/W2061074721","https://openalex.org/W2103492569","https://openalex.org/W2109355036","https://openalex.org/W2119647652","https://openalex.org/W2127503189","https://openalex.org/W2128131274","https://openalex.org/W2136172079","https://openalex.org/W2140373512","https://openalex.org/W2145447436","https://openalex.org/W2148982591","https://openalex.org/W2162654459","https://openalex.org/W2163309052","https://openalex.org/W2553033130","https://openalex.org/W3093664000","https://openalex.org/W6676600390","https://openalex.org/W6729879894"],"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/W2809056180","https://openalex.org/W2317500761","https://openalex.org/W2015890751","https://openalex.org/W4372260199","https://openalex.org/W4385679142"],"abstract_inverted_index":{"Micro":[0],"aerial":[1,8],"vehicles":[2],"(MAVs),":[3],"an":[4,121],"emerging":[5],"class":[6],"of":[7,60,134,152,191,204,224,232,241],"drones,":[9],"are":[10],"fast":[11],"turning":[12],"into":[13],"high":[14,116],"value":[15],"mobile":[16],"sensing":[17,35,142],"assets.":[18],"While":[19],"MAVs":[20],"have":[21],"a":[22,51,69,135,140,201,220,229],"large":[23,111],"sensory":[24],"gamut":[25],"at":[26],"their":[27],"disposal;":[28],"vision":[29],"continues":[30],"to":[31,49,67,90,123,125,179,208,219],"dominate":[32],"the":[33,79,94,126,150,161,171,182,189],"external":[34],"scene,":[36],"with":[37,110],"limited":[38],"usability":[39],"in":[40,78,120],"scenarios":[41],"that":[42,108,198,237],"offer":[43],"acoustic":[44,71],"clues.":[45],"Therefore,":[46],"we":[47,137],"endeavor":[48],"provision":[50],"MAV":[52,95],"auditory":[53],"system":[54,73,143],"(i.e.,":[55,128],"ears);":[56],"and":[57,102,131,164,174,196,211],"as":[58],"part":[59],"this":[61,84],"goal,":[62],"our":[63,165],"preliminary":[64],"aim":[65],"is":[66,86,99,105],"develop":[68],"robust":[70],"localization":[72,222],"for":[74,144],"detecting":[75],"sound":[76,146],"sources":[77],"physical":[80],"space-of-interest.":[81],"However,":[82],"devising":[83],"capability":[85],"extremely":[87],"challenging":[88],"due":[89],"strong":[91],"ego-noise":[92,173],"from":[93],"propeller":[96],"units,":[97],"which":[98],"both":[100],"wideband":[101],"non-stationary.":[103],"It":[104,148],"well":[106],"known":[107],"beamformers":[109],"sensor":[112,156],"arrays":[113],"can":[114],"overcome":[115],"noise":[117],"levels;":[118],"but":[119],"attempt":[122],"cater":[124],"platform":[127,162],"space,":[129],"payload":[130],"computation)":[132],"constraints":[133],"MAV,":[136],"propose":[138],"DroneEARS:":[139],"binaural":[141],"geo-locating":[145],"sources.":[147],"combines":[149],"benefits":[151],"sparse":[153],"(two":[154],"elements)":[155],"array":[157],"design":[158],"(for":[159,169],"meeting":[160],"constraints),":[163],"proposed":[166],"mobility-aided":[167],"beamforming":[168],"overcoming":[170],"severe":[172],"its":[175],"other":[176],"complex":[177],"characteristics)":[178],"significantly":[180],"enhance":[181],"received":[183],"signal-to-noise":[184],"ratio":[185],"(SNR).":[186],"We":[187],"demonstrate":[188],"efficacy":[190],"DroneEARS":[192],"by":[193],"empirical":[194],"evaluations,":[195],"show":[197],"it":[199],"provides":[200],"SNR":[202,216],"improvement":[203],"15-18":[205],"dB":[206],"compared":[207],"many":[209],"conventional":[210],"widely":[212],"used":[213],"techniques.":[214],"This":[215],"gain":[217],"translates":[218],"source":[221],"accuracy":[223],"approximately":[225],"40":[226],"cm":[227],"within":[228],"scan":[230],"region":[231],"6m":[233],"\u00d7":[234],"3m":[235],",":[236],"is,":[238],"one":[239],"order":[240],"magnitude":[242],"better":[243],"than":[244],"competing":[245],"methodologies.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
