{"id":"https://openalex.org/W2909191112","doi":"https://doi.org/10.1109/iros.2018.8593747","title":"A Bayesian Framework for Simultaneous Robot Localization and Target Detection and Engagement","display_name":"A Bayesian Framework for Simultaneous Robot Localization and Target Detection and Engagement","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2909191112","doi":"https://doi.org/10.1109/iros.2018.8593747","mag":"2909191112"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8593747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8593747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5021113129","display_name":"Tomonari Furukawa","orcid":"https://orcid.org/0000-0003-2811-4221"},"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":"Tomonari Furukawa","raw_affiliation_strings":["Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091185859","display_name":"Gamini Dissanayake","orcid":"https://orcid.org/0000-0002-7992-0680"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gamini Dissanayake","raw_affiliation_strings":["Center for Autonomous Systems, University of Technology, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Center for Autonomous Systems, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039644110","display_name":"Tamer Attia","orcid":"https://orcid.org/0000-0002-3393-6687"},"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":"Tamer Attia","raw_affiliation_strings":["Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075816896","display_name":"Jonathan L. Hodges","orcid":"https://orcid.org/0000-0001-6830-0622"},"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":"Jonathan Hodges","raw_affiliation_strings":["Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021113129"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16640142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"7151","last_page":"7157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.998199999332428,"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/T12158","display_name":"Guidance and Control Systems","score":0.9897000193595886,"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/computer-science","display_name":"Computer science","score":0.6629639863967896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6528131365776062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6372349262237549},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6310116052627563},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6034332513809204},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5940656065940857},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5851726531982422},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5331826210021973},{"id":"https://openalex.org/keywords/robot-kinematics","display_name":"Robot kinematics","score":0.4277554750442505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629639863967896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6528131365776062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6372349262237549},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6310116052627563},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6034332513809204},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5940656065940857},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5851726531982422},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5331826210021973},{"id":"https://openalex.org/C74222875","wikidata":"https://www.wikidata.org/wiki/Q16000312","display_name":"Robot kinematics","level":4,"score":0.4277554750442505},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2018.8593747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8593747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/132913","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/132913","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W819530446","https://openalex.org/W1968762117","https://openalex.org/W2021063678","https://openalex.org/W2038804617","https://openalex.org/W2045442032","https://openalex.org/W2057086475","https://openalex.org/W2064297441","https://openalex.org/W2080823437","https://openalex.org/W2120171547","https://openalex.org/W2143864104","https://openalex.org/W2153054365","https://openalex.org/W2155680787","https://openalex.org/W2159456898","https://openalex.org/W2167501464","https://openalex.org/W2530948716"],"related_works":["https://openalex.org/W2760382975","https://openalex.org/W2349716249","https://openalex.org/W2120941928","https://openalex.org/W3191856393","https://openalex.org/W2146909562","https://openalex.org/W2745986669","https://openalex.org/W4206770590","https://openalex.org/W2379462184","https://openalex.org/W1611787488","https://openalex.org/W2402852349"],"abstract_inverted_index":{"This":[0,117],"paper":[1],"presents":[2],"a":[3,7,13,21,55,69,94],"framework":[4,26,132,151],"for":[5,126],"engaging":[6],"target":[8,41,53,82,91,112,128],"while":[9],"approaching":[10],"it":[11],"from":[12,18,72],"long":[14,70],"distance,":[15],"using":[16],"observation":[17,92],"sensors":[19],"on-board":[20],"mobile":[22],"robot.":[23],"The":[24,44,130],"proposed":[25,131,150],"consists":[27],"of":[28,96,102,104,148],"two":[29],"multi-stage":[30,45,90],"Bayesian":[31],"approaches":[32],"to":[33,109,123],"reliably":[34],"detect":[35],"and":[36,51,98],"accurately":[37],"engage":[38],"with":[39,141],"the":[40,49,52,65,73,81,85,89,99,105,111,119,127,146,149],"under":[42],"uncertainties.":[43],"localization":[46],"approach":[47],"localizes":[48],"robot":[50,66],"in":[54,84,114,152],"global":[56],"coordinate":[57],"frame.":[58],"Their":[59],"locations":[60],"are":[61,77,107],"estimated":[62],"sequentially":[63],"when":[64,80],"is":[67,83],"at":[68],"distance":[71],"target,":[74],"whereas":[75],"they":[76],"localized":[78],"simultaneously":[79],"close":[86],"vicinity.":[87],"In":[88],"approach,":[93],"level":[95],"confidence":[97],"associated":[100],"probability":[101],"detection":[103],"sensor":[106],"defined":[108],"make":[110],"detectable":[113],"maximal":[115],"occasions.":[116],"allows":[118],"extended":[120],"Kalman":[121],"filter":[122],"be":[124],"implemented":[125,134],"engagement.":[129],"was":[133],"on":[135],"an":[136],"unmanned":[137],"ground":[138],"vehicle":[139],"equipped":[140],"multiple":[142],"sensors.":[143],"Results":[144],"show":[145],"effectiveness":[147],"solving":[153],"real-world":[154],"problems.":[155]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
