{"id":"https://openalex.org/W2037907772","doi":"https://doi.org/10.1109/iros.2013.6697034","title":"Continuous occupancy maps using overlapping local Gaussian processes","display_name":"Continuous occupancy maps using overlapping local Gaussian processes","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2037907772","doi":"https://doi.org/10.1109/iros.2013.6697034","mag":"2037907772"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2013.6697034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2013.6697034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024541189","display_name":"Soohwan Kim","orcid":"https://orcid.org/0000-0002-2891-7537"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Soohwan Kim","raw_affiliation_strings":["College of Engineering and Computer Science, The Australian National University, Canberra, Australia","College of Engineering and Computer Science, Australian National University, Canberra, ACT, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, The Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University, Canberra, ACT, Australia#TAB#","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101724792","display_name":"Jonghyuk Kim","orcid":"https://orcid.org/0000-0002-5034-2581"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jonghyuk Kim","raw_affiliation_strings":["College of Engineering and Computer Science, The Australian National University, Canberra, Australia","College of Engineering and Computer Science, Australian National University, Canberra, ACT, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, The Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University, Canberra, ACT, Australia#TAB#","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4709","last_page":"4714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9958999752998352,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9958999752998352,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.7265641689300537},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.6545029878616333},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6289889216423035},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5716944336891174},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5326501727104187},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4575378894805908},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45734190940856934},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44270122051239014},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.433674156665802},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3831101655960083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3727094531059265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29432547092437744},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08432245254516602},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08207458257675171}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265641689300537},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.6545029878616333},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6289889216423035},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5716944336891174},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5326501727104187},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4575378894805908},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45734190940856934},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44270122051239014},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.433674156665802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3831101655960083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3727094531059265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29432547092437744},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08432245254516602},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08207458257675171},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2013.6697034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2013.6697034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/82615","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/82615","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Intelligent Robots and Systems","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W31424620","https://openalex.org/W91749453","https://openalex.org/W198334126","https://openalex.org/W1746819321","https://openalex.org/W1968287817","https://openalex.org/W1977189000","https://openalex.org/W2053455835","https://openalex.org/W2095132173","https://openalex.org/W2099768828","https://openalex.org/W2107153006","https://openalex.org/W2115519811","https://openalex.org/W2129298951","https://openalex.org/W2133844819","https://openalex.org/W2154418813","https://openalex.org/W2161160262","https://openalex.org/W2161674001","https://openalex.org/W2187387893","https://openalex.org/W2282116611","https://openalex.org/W2294975145","https://openalex.org/W2548695521","https://openalex.org/W3083135905","https://openalex.org/W4211049957","https://openalex.org/W6601271567","https://openalex.org/W6674989108","https://openalex.org/W6677508557","https://openalex.org/W6687119385","https://openalex.org/W6695425499"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W3093197249","https://openalex.org/W1968324288","https://openalex.org/W1540010871","https://openalex.org/W3023979140","https://openalex.org/W2904068067","https://openalex.org/W1565491139","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"efficient":[4],"method":[5,107,125],"of":[6,58,81],"building":[7],"continuous":[8,95],"occupancy":[9,96],"maps":[10,98],"using":[11],"Gaussian":[12,18,62],"processes":[13,19,63],"for":[14],"large-scale":[15],"environments.":[16],"Although":[17],"have":[20],"been":[21],"successfully":[22],"applied":[23,65],"to":[24,31,35,66,74],"map":[25,113],"building,":[26],"the":[27,36,42,76,88],"applications":[28],"are":[29,53,64,92],"limited":[30],"small-scale":[32],"environments":[33],"due":[34],"high":[37],"computational":[38,116],"complexity.":[39],"To":[40],"improve":[41],"scalability,":[43],"we":[44,70],"adopt":[45],"a":[46,100,131],"divide":[47],"and":[48,60,94,111,115],"conquer":[49],"strategy":[50],"where":[51],"data":[52,110,128],"partitioned":[54],"into":[55],"manageable":[56],"size":[57],"clusters":[59,73],"local":[61,82],"each":[67],"cluster.":[68],"Particularly,":[69],"propose":[71],"overlapping":[72],"mitigate":[75],"discontinuity":[77],"problem":[78],"that":[79],"predictions":[80],"estimators":[83],"do":[84],"not":[85],"match":[86],"along":[87],"boundaries.":[89],"The":[90],"results":[91],"consistent":[93],"voxel":[97],"in":[99],"fully":[101],"Bayesian":[102],"framework.":[103],"We":[104,121],"evaluate":[105],"our":[106,124],"with":[108,118,126],"simulated":[109],"compare":[112],"accuracy":[114],"time":[117],"previous":[119],"work.":[120],"also":[122],"demonstrate":[123],"real":[127],"acquired":[129],"from":[130],"laser":[132],"range":[133],"finder.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}