{"id":"https://openalex.org/W2394852385","doi":"https://doi.org/10.1109/icra.2016.7487329","title":"Gaussian Markov Random Fields for fusion in information form","display_name":"Gaussian Markov Random Fields for fusion in information form","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2394852385","doi":"https://doi.org/10.1109/icra.2016.7487329","mag":"2394852385"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2016.7487329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2016.7487329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/43913/4/F6AA7196-DB47-4A07-9AB9-E086B01E3549%20am.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102218425","display_name":"Liye Sun","orcid":null},"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":"Liye Sun","raw_affiliation_strings":["Autonomous Systems at Faculty of Engineering and IT, University of Technology, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous Systems at Faculty of Engineering and IT, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086794522","display_name":"Teresa Vidal\u2010Calleja","orcid":"https://orcid.org/0000-0002-5763-9644"},"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":"Teresa Vidal-Calleja","raw_affiliation_strings":["Autonomous Systems at Faculty of Engineering and IT, University of Technology, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous Systems at Faculty of Engineering and IT, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090396472","display_name":"Jaime Valls Mir\u00f3","orcid":"https://orcid.org/0000-0002-0083-7797"},"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":"Jaime Valls Miro","raw_affiliation_strings":["Autonomous Systems at Faculty of Engineering and IT, University of Technology, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous Systems at Faculty of Engineering and IT, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1840","last_page":"1845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9987999796867371,"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":0.9987999796867371,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.998199999332428,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9817000031471252,"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/computer-science","display_name":"Computer science","score":0.6243400573730469},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5728684067726135},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5257212519645691},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5234529376029968},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5097269415855408},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4721931219100952},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.44953516125679016},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.442204087972641},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.44112488627433777},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4389892816543579},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.43252915143966675},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4154793620109558},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3960271179676056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3805404305458069},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3668205142021179},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23255395889282227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6243400573730469},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5728684067726135},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5257212519645691},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5234529376029968},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5097269415855408},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4721931219100952},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.44953516125679016},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.442204087972641},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.44112488627433777},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4389892816543579},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.43252915143966675},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4154793620109558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3960271179676056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3805404305458069},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3668205142021179},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23255395889282227},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2016.7487329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2016.7487329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/43913","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/43913","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/43913/4/F6AA7196-DB47-4A07-9AB9-E086B01E3549%20am.pdf","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":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/43913","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/43913","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/43913/4/F6AA7196-DB47-4A07-9AB9-E086B01E3549%20am.pdf","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"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311415","display_name":"City West Water","ror":"https://ror.org/05hrjak95"},{"id":"https://openalex.org/F4320311416","display_name":"South East Water","ror":"https://ror.org/033s2jy46"},{"id":"https://openalex.org/F4320314191","display_name":"Hunter Water Corporation","ror":"https://ror.org/02n5xmn14"},{"id":"https://openalex.org/F4320314911","display_name":"Sydney Water Corporation","ror":"https://ror.org/04yhf7405"},{"id":"https://openalex.org/F4320320967","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041"},{"id":"https://openalex.org/F4320320971","display_name":"Monash University","ror":"https://ror.org/02bfwt286"},{"id":"https://openalex.org/F4320322416","display_name":"Melbourne Water","ror":"https://ror.org/01r7sqp31"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2394852385.pdf","grobid_xml":"https://content.openalex.org/works/W2394852385.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W143236119","https://openalex.org/W159186442","https://openalex.org/W1493184037","https://openalex.org/W1506342804","https://openalex.org/W1520053542","https://openalex.org/W1524392826","https://openalex.org/W1552532749","https://openalex.org/W1571870753","https://openalex.org/W1746819321","https://openalex.org/W1747046542","https://openalex.org/W1837874438","https://openalex.org/W1967077835","https://openalex.org/W1981152249","https://openalex.org/W1999593548","https://openalex.org/W2036300381","https://openalex.org/W2079423919","https://openalex.org/W2089024363","https://openalex.org/W2129298951","https://openalex.org/W2137541800","https://openalex.org/W2139724650","https://openalex.org/W2154319942","https://openalex.org/W2154418813","https://openalex.org/W2156682305","https://openalex.org/W2158122241","https://openalex.org/W2238582461","https://openalex.org/W2264354536","https://openalex.org/W3083135905","https://openalex.org/W4237092847","https://openalex.org/W4246724356","https://openalex.org/W6606498993","https://openalex.org/W6659489597","https://openalex.org/W6693084140"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W4243305035","https://openalex.org/W1537496349","https://openalex.org/W2379407973","https://openalex.org/W2350267540"],"abstract_inverted_index":{"2.5D":[0,27,61,150],"maps":[1,151],"are":[2,22,80,190],"preferable":[3],"for":[4,49],"representing":[5],"the":[6,24,34,69,73,89,101,169,203,213,221],"environment":[7],"owing":[8],"to":[9,30,32,57,67,82,96,172,208,216,220],"their":[10],"compactness.":[11],"When":[12],"noisy":[13],"observations":[14],"from":[15,180],"multiple":[16,52],"diverse":[17,182],"sensors":[18,183],"at":[19,152],"different":[20,186],"resolutions":[21],"available,":[23],"problem":[25],"of":[26,54,72,100,122,149],"mapping":[28,176],"turns":[29],"how":[31],"compound":[33],"information":[35,74,106,113],"in":[36,112,125,162,210,227],"an":[37],"effective":[38],"and":[39,132,159,177],"efficient":[40],"manner.":[41],"This":[42,108],"paper":[43],"proposes":[44],"a":[45,84,98,104,163,231],"generic":[46],"probabilistic":[47],"framework":[48,171,205],"fusing":[50],"efficiently":[51,137],"sources":[53,121],"sensor":[55,123,157],"data":[56,124,179],"generate":[58,217],"amendable,":[59],"high-resolution":[60],"maps.":[62],"The":[63,143],"key":[64],"idea":[65],"is":[66,206],"exploit":[68],"sparse":[70,105,140],"structure":[71],"matrix.":[75,107],"Gaussian":[76,232],"Markov":[77],"Random":[78],"Fields":[79],"employed":[81],"learn":[83],"prior":[85,109],"map,":[86],"which":[87],"uses":[88],"conditional":[90],"independence":[91],"property":[92],"between":[93],"spatial":[94,160,214],"location":[95],"obtain":[97],"representation":[99],"state":[102,130],"with":[103,119,192,230],"map":[110],"encoded":[111],"form":[114,229],"can":[115,134],"then":[116],"be":[117,135],"updated":[118],"other":[120,194],"constant":[126],"time.":[127],"Later,":[128],"mean":[129],"vector":[131],"variances":[133],"also":[136],"recovered":[138],"using":[139],"matrices":[141],"techniques.":[142],"proposed":[144,170,204],"approach":[145],"allows":[146],"accurate":[147],"estimation":[148],"arbitrary":[153],"resolution,":[154],"while":[155,198],"incorporating":[156],"noise":[158],"dependency":[161],"statistically":[164],"sound":[165],"way.":[166],"We":[167],"apply":[168],"pipe":[173],"wall":[174],"thickness":[175],"fuse":[178],"two":[181],"that":[184],"have":[185],"resolutions.":[187],"Experimental":[188],"results":[189,219],"compared":[191],"three":[193],"methods,":[195],"showing":[196],"that,":[197],"greatly":[199],"reducing":[200],"computation":[201],"time,":[202],"able":[207],"capture":[209],"large":[211],"extend":[212],"correlation":[215],"equivalent":[218],"computationally":[222],"expensive":[223],"optimal":[224],"fusion":[225],"method":[226],"covariance":[228],"Process":[233],"prior.":[234]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}