{"id":"https://openalex.org/W2844719470","doi":"https://doi.org/10.1109/aqtr.2018.8402727","title":"Gaussian random field-based log odds occupancy mapping","display_name":"Gaussian random field-based log odds occupancy mapping","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2844719470","doi":"https://doi.org/10.1109/aqtr.2018.8402727","mag":"2844719470"},"language":"en","primary_location":{"id":"doi:10.1109/aqtr.2018.8402727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aqtr.2018.8402727","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 Automation, Quality and Testing, Robotics (AQTR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10174/24962","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017440075","display_name":"Hongjun Li","orcid":"https://orcid.org/0000-0001-5794-1336"},"institutions":[{"id":"https://openalex.org/I21803372","display_name":"University of \u00c9vora","ror":"https://ror.org/02gyps716","country_code":"PT","type":"education","lineage":["https://openalex.org/I21803372"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Hongjun Li","raw_affiliation_strings":["Department of Informatics, University of Evora, Evora, Portugal"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Evora, Evora, Portugal","institution_ids":["https://openalex.org/I21803372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042629262","display_name":"Miguel Bar\u00e3o","orcid":"https://orcid.org/0000-0003-0660-0384"},"institutions":[{"id":"https://openalex.org/I21803372","display_name":"University of \u00c9vora","ror":"https://ror.org/02gyps716","country_code":"PT","type":"education","lineage":["https://openalex.org/I21803372"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Miguel Barao","raw_affiliation_strings":["Department of Informatics, University of Evora, Evora, Portugal"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Evora, Evora, Portugal","institution_ids":["https://openalex.org/I21803372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040863927","display_name":"Lu\u00eds Rato","orcid":"https://orcid.org/0000-0003-4492-7548"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Luis Rato","raw_affiliation_strings":["INESC-ID, Control of Dynamical Systems Group, Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"INESC-ID, Control of Dynamical Systems Group, Lisboa, Portugal","institution_ids":["https://openalex.org/I121345201"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017440075"],"corresponding_institution_ids":["https://openalex.org/I21803372"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07129815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9926000237464905,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.7113721370697021},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.680033802986145},{"id":"https://openalex.org/keywords/odds","display_name":"Odds","score":0.6475372910499573},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.5007243156433105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.453622043132782},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4501414895057678},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4354696273803711},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.43377745151519775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41517114639282227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41431623697280884},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41215255856513977},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35465240478515625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3218455910682678},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11017158627510071},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10512802004814148},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07169300317764282},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.06489342451095581}],"concepts":[{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.7113721370697021},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.680033802986145},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.6475372910499573},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5007243156433105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.453622043132782},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4501414895057678},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4354696273803711},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.43377745151519775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41517114639282227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41431623697280884},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41215255856513977},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35465240478515625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3218455910682678},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11017158627510071},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10512802004814148},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07169300317764282},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.06489342451095581},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/aqtr.2018.8402727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aqtr.2018.8402727","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 Automation, Quality and Testing, Robotics (AQTR)","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.uevora.pt:10174/24962","is_oa":true,"landing_page_url":"http://hdl.handle.net/10174/24962","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"lecture"}],"best_oa_location":{"id":"pmh:oai:dspace.uevora.pt:10174/24962","is_oa":true,"landing_page_url":"http://hdl.handle.net/10174/24962","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"lecture"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W1977189000","https://openalex.org/W2037907772","https://openalex.org/W2053455835","https://openalex.org/W2154418813","https://openalex.org/W2212202518","https://openalex.org/W2336416123","https://openalex.org/W2410641873","https://openalex.org/W2415931830","https://openalex.org/W4211049957","https://openalex.org/W6629804754","https://openalex.org/W6660115907","https://openalex.org/W6688517921"],"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/W3177545769","https://openalex.org/W2202433167"],"abstract_inverted_index":{"This":[0,73],"paper":[1],"focuses":[2],"on":[3],"mapping":[4,22,74],"problem":[5],"with":[6],"known":[7],"robot":[8],"pose":[9],"in":[10,64,84,115],"static":[11],"environments":[12],"and":[13,35,44],"proposes":[14],"a":[15,71,97],"Gaussian":[16,85],"random":[17],"field-based":[18],"log":[19,65],"odds":[20,66],"occupancy":[21,27,62],"(GRF-LOOM).":[23],"In":[24],"this":[25],"method,":[26],"probability":[28],"is":[29,101,113],"regarded":[30,69],"as":[31,70],"an":[32,89],"unknown":[33],"parameter":[34],"the":[36,45,47,80,94,106,110],"dependence":[37],"between":[38],"parameters":[39,48],"are":[40,68],"considered.":[41],"Given":[42],"measurements":[43],"dependence,":[46],"of":[49,93],"not":[50],"only":[51],"observed":[52],"space":[53,57],"but":[54],"also":[55,102],"unobserved":[56],"can":[58,76],"be":[59,77],"predicted.":[60],"The":[61],"probabilities":[63],"form":[67],"GRF.":[72],"task":[75],"solved":[78],"by":[79],"well-known":[81],"prediction":[82,95],"equation":[83],"processes,":[86],"which":[87],"involves":[88],"inverse":[90,107],"problem.":[91,108],"Instead":[92],"equation,":[96],"new":[98],"recursive":[99],"algorithm":[100],"proposed":[103,111],"to":[104],"avoid":[105],"Finally,":[109],"method":[112],"evaluated":[114],"simulations.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
