{"id":"https://openalex.org/W2103166731","doi":"https://doi.org/10.1109/iros.2003.1250641","title":"Indoor target intercept using an acoustic sensor network and dual wavefront path planning","display_name":"Indoor target intercept using an acoustic sensor network and dual wavefront path planning","publication_year":2004,"publication_date":"2004-07-08","ids":{"openalex":"https://openalex.org/W2103166731","doi":"https://doi.org/10.1109/iros.2003.1250641","mag":"2103166731"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2003.1250641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2003.1250641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)","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/A5069251742","display_name":"Lynne E. Parker","orcid":"https://orcid.org/0000-0002-6744-5675"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"L.E. Parker","raw_affiliation_strings":["Department of Computer Science, University of Tennessee, Knoxville, TN, USA","[Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN, USA]","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055443716","display_name":"Ben Birch","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Birch","raw_affiliation_strings":["Department of Computer Science, University of Tennessee, Knoxville, TN, USA","[Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN, USA]","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086242162","display_name":"Christopher Reardon","orcid":"https://orcid.org/0000-0003-1393-2256"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Reardon","raw_affiliation_strings":["Department of Computer Science, University of Tennessee, Knoxville, TN, USA","[Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Tennessee Univ., Knoxville, TN, USA]","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069251742"],"corresponding_institution_ids":["https://openalex.org/I75027704"],"apc_list":null,"apc_paid":null,"fwci":3.3879,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.92202974,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"278","last_page":"283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9984999895095825,"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/robot","display_name":"Robot","score":0.6904985308647156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6695650815963745},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5920319557189941},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5916928052902222},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5520393252372742},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5153083801269531},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4668714702129364},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.46474215388298035},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4214671850204468},{"id":"https://openalex.org/keywords/wavefront","display_name":"Wavefront","score":0.420126736164093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4107634425163269},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3814128339290619},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32796502113342285},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09742593765258789},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07690995931625366},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07387736439704895}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6904985308647156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6695650815963745},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5920319557189941},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5916928052902222},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5520393252372742},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5153083801269531},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4668714702129364},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.46474215388298035},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4214671850204468},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.420126736164093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4107634425163269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3814128339290619},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32796502113342285},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09742593765258789},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07690995931625366},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07387736439704895},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2003.1250641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2003.1250641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.5.2784","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.2784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utk.edu/~parker/publications/IROS03-Planner.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5899999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W21435260","https://openalex.org/W1577104490","https://openalex.org/W1644054796","https://openalex.org/W1836485091","https://openalex.org/W1841709236","https://openalex.org/W2045028348","https://openalex.org/W2101414012","https://openalex.org/W2113588592","https://openalex.org/W2116008620","https://openalex.org/W2134794304","https://openalex.org/W3000613877","https://openalex.org/W6600861038","https://openalex.org/W6634763207","https://openalex.org/W6638965207"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W1904098742","https://openalex.org/W3158921809","https://openalex.org/W2161428574","https://openalex.org/W2077416514","https://openalex.org/W2618632915","https://openalex.org/W4292862729","https://openalex.org/W2150982344","https://openalex.org/W2157678966"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,15,71,148,156],"approach":[4,27,105],"that":[5,37,90,143,159],"enables":[6],"a":[7,21,76,88,96,126,140],"mobile":[8],"\"interceptor\"":[9],"robot":[10,158],"to":[11,70,81,87,123],"intercept":[12],"targets":[13,48],"in":[14,44,51,111,170],"indoor":[16,30,171],"environment":[17,31],"using":[18,106],"information":[19,67],"from":[20,83],"distributed":[22],"acoustic":[23,61,149],"sensor":[24,39,53,108,150],"network.":[25],"The":[26,47,63],"assumes":[28],"the":[29,38,45,52,60,100,112,136,145,163,167],"has":[32],"been":[33],"previously":[34],"mapped":[35],"and":[36],"nodes":[40],"know":[41],"their":[42],"position":[43,165],"map.":[46],"are":[49,116],"localized":[50],"network":[54],"based":[55],"upon":[56],"local":[57],"maxima":[58],"of":[59,95,99,103,128,139,147,166],"volume.":[62],"current":[64,85],"target":[65,153,169],"localization":[66],"is":[68,91,135],"reported":[69],"interceptor":[72,157],"robot,":[73],"which":[74],"utilizes":[75],"dual":[77],"wavefront":[78],"path":[79],"planner":[80],"move":[82],"its":[84],"location":[86,89],"within":[92],"visibility":[93],"range":[94],"target.":[97],"Results":[98],"complete":[101],"implementation":[102,121,138],"this":[104,134],"70":[107],"net":[109,151],"robots":[110],"player/stage":[113],"multi-robot":[114,141],"simulator":[115],"reported,":[117],"as":[118,120],"well":[119],"results":[122],"date":[124],"on":[125],"team":[127],"physical":[129],"robots.":[130],"To":[131],"our":[132],"knowledge,":[133],"first":[137],"system":[142],"combines":[144],"use":[146],"for":[152],"detection":[154],"with":[155],"can":[160],"efficiently":[161],"reach":[162],"moving":[164],"detected":[168],"environments.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}