{"id":"https://openalex.org/W1625747805","doi":"https://doi.org/10.1109/coase.2015.7294129","title":"Optimal planning for target localization and coverage using range sensing","display_name":"Optimal planning for target localization and coverage using range sensing","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1625747805","doi":"https://doi.org/10.1109/coase.2015.7294129","mag":"1625747805"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2015.7294129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5002804365","display_name":"L. M. Miller","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lauren M. Miller","raw_affiliation_strings":["Department of Mechanical Engineering, Northwestern University, Evanston, Illinois, USA","Department of Mechanical Engineering at R.R. McCormick School of Engineering and Applied Science at Northwestern University, Evanston, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Department of Mechanical Engineering at R.R. McCormick School of Engineering and Applied Science at Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067725461","display_name":"Todd D. Murphey","orcid":"https://orcid.org/0000-0003-2262-8176"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Todd D. Murphey","raw_affiliation_strings":["Department of Mechanical Engineering, Northwestern University, Evanston, Illinois, USA","Department of Mechanical Engineering at R.R. McCormick School of Engineering and Applied Science at Northwestern University, Evanston, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Department of Mechanical Engineering at R.R. McCormick School of Engineering and Applied Science at Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002804365"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":5.6087,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95898334,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"501","last_page":"508"},"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":0.9973000288009644,"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":0.9973000288009644,"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":0.996999979019165,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ergodic-theory","display_name":"Ergodic theory","score":0.8066800236701965},{"id":"https://openalex.org/keywords/workspace","display_name":"Workspace","score":0.7741475105285645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6624591946601868},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6393809914588928},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5929430723190308},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5338820815086365},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4751289188861847},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3839338421821594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36675918102264404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3263668417930603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3016217350959778},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2713626027107239},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09810394048690796},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.08389249444007874}],"concepts":[{"id":"https://openalex.org/C122044880","wikidata":"https://www.wikidata.org/wiki/Q5498822","display_name":"Ergodic theory","level":2,"score":0.8066800236701965},{"id":"https://openalex.org/C58581272","wikidata":"https://www.wikidata.org/wiki/Q12741163","display_name":"Workspace","level":3,"score":0.7741475105285645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624591946601868},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6393809914588928},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5929430723190308},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5338820815086365},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4751289188861847},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3839338421821594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36675918102264404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3263668417930603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3016217350959778},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2713626027107239},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09810394048690796},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.08389249444007874},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2015.7294129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W36550046","https://openalex.org/W1488180145","https://openalex.org/W1488766761","https://openalex.org/W1489258026","https://openalex.org/W1584835303","https://openalex.org/W1605073378","https://openalex.org/W1888754704","https://openalex.org/W1991752086","https://openalex.org/W1999484566","https://openalex.org/W2001924519","https://openalex.org/W2011355556","https://openalex.org/W2021774297","https://openalex.org/W2021836510","https://openalex.org/W2061341273","https://openalex.org/W2075682391","https://openalex.org/W2077167025","https://openalex.org/W2082014790","https://openalex.org/W2083245347","https://openalex.org/W2083327122","https://openalex.org/W2088102099","https://openalex.org/W2095725989","https://openalex.org/W2096649264","https://openalex.org/W2104969271","https://openalex.org/W2111034477","https://openalex.org/W2112467664","https://openalex.org/W2114318630","https://openalex.org/W2119615431","https://openalex.org/W2134969878","https://openalex.org/W2142425726","https://openalex.org/W2143088799","https://openalex.org/W2144691386","https://openalex.org/W2147545324","https://openalex.org/W2151676189","https://openalex.org/W2154047452","https://openalex.org/W2157813244","https://openalex.org/W2160540358","https://openalex.org/W2161674001","https://openalex.org/W2166000463","https://openalex.org/W2167046788","https://openalex.org/W2169645448","https://openalex.org/W2336416123","https://openalex.org/W2495681058","https://openalex.org/W2962707519","https://openalex.org/W3122956633","https://openalex.org/W4245439180","https://openalex.org/W6636193600","https://openalex.org/W6639585552","https://openalex.org/W6650404023","https://openalex.org/W6650843659","https://openalex.org/W6684953212"],"related_works":["https://openalex.org/W1992503747","https://openalex.org/W2371519816","https://openalex.org/W2043154226","https://openalex.org/W2369529107","https://openalex.org/W2329043542","https://openalex.org/W2109948066","https://openalex.org/W1678858522","https://openalex.org/W3195090107","https://openalex.org/W38056103","https://openalex.org/W1999333556"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,34,128],"algorithm":[4,17,72],"for":[5,87],"autonomously":[6],"calculating":[7],"active":[8],"sensing":[9],"strategies":[10],"applied":[11],"to":[12,65,91,127],"range":[13,118],"sensing.":[14],"The":[15,69],"receding-horizon":[16],"we":[18],"use,":[19],"called":[20],"Ergodic":[21],"Exploration":[22],"of":[23,33,50,78,109],"Distributed":[24],"Information":[25],"(EEDI),":[26],"involves":[27],"two":[28],"major":[29],"components:":[30],"a)":[31],"calculation":[32],"expected":[35,93],"information":[36,46,67,94,98,129],"density":[37,95],"map":[38],"over":[39,58],"the":[40,51,59,79,92,97],"search":[41,80],"space":[42,62],"based":[43],"on":[44,76],"prior":[45],"and":[47,53,84,107,124],"a":[48,112,116],"model":[49],"sensor,":[52],"b)":[54],"ergodic":[55,70],"trajectory":[56],"optimization":[57],"sensor":[60,119],"configuration":[61],"with":[63,89],"respect":[64,90],"that":[66],"map.":[68],"control":[71],"does":[73],"not":[74],"rely":[75],"discretization":[77],"or":[81,101],"action":[82],"spaces,":[83],"is":[85,99],"well-posed":[86],"coverage":[88],"whether":[96],"diffuse":[100],"localized.":[102],"We":[103],"simulate":[104],"successful":[105],"localization":[106],"discrimination":[108],"targets":[110],"in":[111],"two-dimensional":[113],"workspace":[114],"using":[115],"fixed-location":[117],"under":[120],"various":[121],"noise":[122],"levels,":[123],"compare":[125],"performance":[126],"maximizing":[130],"strategy.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}