{"id":"https://openalex.org/W1490430953","doi":null,"title":"Gauge-invariant registration in networks","display_name":"Gauge-invariant registration in networks","publication_year":2015,"publication_date":"2015-07-06","ids":{"openalex":"https://openalex.org/W1490430953","mag":"1490430953"},"language":"en","primary_location":{"id":"mag:1490430953","doi":null,"is_oa":false,"landing_page_url":"https://asu.pure.elsevier.com/en/publications/gauge-invariant-registration-in-networks","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Information Fusion","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Howard Caygill","orcid":"https://orcid.org/0000-0002-7194-3853","observed_orcids":["https://orcid.org/0000-0002-7194-3853"]},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"government","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Howard Caygill","raw_affiliation_strings":["Defence Science & Technology Organisation, Edinburgh SA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7194-3853","affiliations":[{"raw_affiliation_string":"Defence Science & Technology Organisation, Edinburgh SA, Australia","institution_ids":["https://openalex.org/I1303474014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112661161","display_name":"Douglas Cochran","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas Cochran","raw_affiliation_strings":["Arizona State University , Tempe , AZ , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University , Tempe , AZ , USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030306670","display_name":"William Moran","orcid":"https://orcid.org/0000-0001-6219-2341","observed_orcids":["https://orcid.org/0000-0001-6219-2341"]},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"William Moran","raw_affiliation_strings":[", RMIT University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6219-2341","affiliations":[{"raw_affiliation_string":", RMIT University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1526","last_page":"1532"},"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":0.8622999787330627,"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":0.8622999787330627,"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":0.05999999865889549,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.023600000888109207,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/sensor-networks","display_name":"sensor networks","score":0.6990000009536743},{"id":"https://openalex.org/keywords/clock-synchronization","display_name":"clock synchronization","score":0.6899999976158142},{"id":"https://openalex.org/keywords/lie-groups","display_name":"Lie groups","score":0.6460000276565552},{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.9359999895095825},{"id":"https://openalex.org/keywords/graph-geometry","display_name":"graph geometry","score":0.4580000042915344},{"id":"https://openalex.org/keywords/coordinate-system-alignment","display_name":"coordinate system alignment","score":0.5590000152587891}],"concepts":[{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.6657904982566833},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5953147411346436},{"id":"https://openalex.org/C558772884","wikidata":"https://www.wikidata.org/wiki/Q1508564","display_name":"Graph rewriting","level":3,"score":0.536427915096283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4857180714607239},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47840437293052673},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47523120045661926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4157651960849762},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3996162414550781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3179929256439209},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:1490430953","doi":null,"is_oa":false,"landing_page_url":"https://asu.pure.elsevier.com/en/publications/gauge-invariant-registration-in-networks","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Information Fusion","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W386579625","https://openalex.org/W1551148884","https://openalex.org/W1811947045","https://openalex.org/W2029080014","https://openalex.org/W2104443140","https://openalex.org/W2105666891","https://openalex.org/W2118776392","https://openalex.org/W2119434824","https://openalex.org/W2141124405","https://openalex.org/W2141788746","https://openalex.org/W2158305431","https://openalex.org/W2171801319","https://openalex.org/W3137220996"],"related_works":["https://openalex.org/W1723496552","https://openalex.org/W6969573826","https://openalex.org/W2953780597","https://openalex.org/W2523276829","https://openalex.org/W7098001012","https://openalex.org/W2007655447","https://openalex.org/W6982068546","https://openalex.org/W2991312506","https://openalex.org/W1559824888","https://openalex.org/W7096808531"],"abstract_inverted_index":{"Integration":[0],"and":[1,16,38,112,153,161],"exploitation":[2],"of":[3,10,18,20,25,33,40,42,51,68,74,88,91,95,106,115,131,134,147,150],"information":[4],"collection":[5],"across":[6,22,125],"a":[7,31,55,89,92,107,117,155],"distributed":[8],"network":[9,52],"assets":[11],"usually":[12],"requires":[13],"the":[14,23,26,62,66,69,75,78,99,110,122,126,132,135,138,148,151,158,164],"establishment":[15],"maintenance":[17],"registration":[19,39,45,100],"coordinates":[21],"nodes":[24],"network.":[27,127],"Here":[28],"\u201cregistration\u201d":[29],"covers":[30],"range":[32],"possibilities,":[34],"including":[35],"clock":[36],"synchronization":[37],"frames":[41],"reference.":[43],"The":[44,128],"problem":[46,101],"is":[47,84,102],"posed":[48],"in":[49,86,104,145],"terms":[50,87,105,146],"represented":[53],"by":[54],"graph":[56,70],"\u0393":[57],"with":[58],"vertices":[59],"corresponding":[60],"to":[61,65,120],"sensors.":[63],"Attached":[64],"edges":[67],"are":[71],"noisy":[72],"measurements":[73],"\u201cdifference\u201d":[76,83],"between":[77,157],"two":[79],"coordinate":[80,96,123],"systems.":[81],"This":[82],"expressed":[85,144],"member":[90],"Lie":[93],"group":[94],"transformations.":[97],"Effectively,":[98],"specified":[103],"connection":[108],"on":[109],"edges,":[111],"becomes":[113],"one":[114],"estimating":[116],"gauge":[118],"transformation":[119],"align":[121],"systems":[124],"key":[129],"descriptor":[130],"difficulty":[133],"estimation":[136],"problem,":[137],"Fisher":[139],"information,":[140],"can":[141],"be":[142],"simply":[143],"geometry":[149],"situation":[152],"provides":[154],"link":[156],"homological":[159],"chains":[160],"cochains":[162],"for":[163],"graph.":[165]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2016-06-24T00:00:00"}
