{"id":"https://openalex.org/W2044020847","doi":"https://doi.org/10.1109/iros.2012.6385600","title":"Bearing-only tracking with a mixture of von Mises distributions","display_name":"Bearing-only tracking with a mixture of von Mises distributions","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2044020847","doi":"https://doi.org/10.1109/iros.2012.6385600","mag":"2044020847"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2012.6385600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 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/A5035622961","display_name":"Ivan Markovi\u0107","orcid":"https://orcid.org/0000-0003-4138-1113"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Ivan Markovic","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, University of Zagreb, Zagreb, Croatia","University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, HR-10000, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]},{"raw_affiliation_string":"University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, HR-10000, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001473761","display_name":"Ivan Petrovi\u0107","orcid":"https://orcid.org/0000-0001-9961-5627"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Ivan Petrovic","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, University of Zagreb, Zagreb, Croatia","University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, HR-10000, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]},{"raw_affiliation_string":"University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, HR-10000, Croatia","institution_ids":["https://openalex.org/I181343428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181343428"],"apc_list":null,"apc_paid":null,"fwci":2.3415,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.89522983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"707","last_page":"712"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9932000041007996,"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/von-mises-distribution","display_name":"von Mises distribution","score":0.7056277394294739},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6058614253997803},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5612145662307739},{"id":"https://openalex.org/keywords/von-mises-yield-criterion","display_name":"von Mises yield criterion","score":0.5330290794372559},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4754697382450104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42373302578926086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40865951776504517},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.3455910384654999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31311923265457153},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0896868109703064}],"concepts":[{"id":"https://openalex.org/C198138136","wikidata":"https://www.wikidata.org/wiki/Q7941490","display_name":"von Mises distribution","level":4,"score":0.7056277394294739},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6058614253997803},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5612145662307739},{"id":"https://openalex.org/C155165730","wikidata":"https://www.wikidata.org/wiki/Q1319519","display_name":"von Mises yield criterion","level":3,"score":0.5330290794372559},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4754697382450104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42373302578926086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40865951776504517},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.3455910384654999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31311923265457153},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0896868109703064},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2012.6385600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2012.6385600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W116417043","https://openalex.org/W250076511","https://openalex.org/W1503003940","https://openalex.org/W1553173248","https://openalex.org/W1648602279","https://openalex.org/W1716092612","https://openalex.org/W1965392255","https://openalex.org/W1993815147","https://openalex.org/W2038475577","https://openalex.org/W2099111195","https://openalex.org/W2105750764","https://openalex.org/W2105906326","https://openalex.org/W2116753650","https://openalex.org/W2135979612","https://openalex.org/W2151363992","https://openalex.org/W2160337655","https://openalex.org/W2336416123","https://openalex.org/W2406194542","https://openalex.org/W2478708596","https://openalex.org/W2969734899","https://openalex.org/W4231807801","https://openalex.org/W4246202668","https://openalex.org/W6630191445"],"related_works":["https://openalex.org/W4252024964","https://openalex.org/W2015913877","https://openalex.org/W2743399515","https://openalex.org/W4253883008","https://openalex.org/W2912327495","https://openalex.org/W2108205837","https://openalex.org/W4399440807","https://openalex.org/W2002927610","https://openalex.org/W4240108915","https://openalex.org/W1849160524"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,54,87,100,109,129,137,142,163,168,173],"novel":[4],"method":[5,130],"for":[6,133,147],"Bayesian":[7],"bearing-only":[8],"tracking.":[9],"Unlike":[10],"the":[11,19,26,44,81,112,119,122,152,183,191],"classical":[12],"approaches,":[13],"which":[14],"involve":[15],"using":[16],"Gaussian":[17],"distribution,":[18,29],"tracking":[20,93,170],"procedure":[21,94],"is":[22,51,95,131,145,158],"completely":[23,79],"covered":[24],"with":[25,53,86,99,108],"von":[27,57,101,138,153],"Mises":[28,58,102,139,154],"including":[30],"state":[31,50,72,83],"representation,":[32],"transitional":[33],"probability,":[34],"and":[35,41,74,77,106,160,177,186],"measurement":[36,75,113],"model,":[37],"since":[38],"it":[39],"captures":[40],"models":[42],"well":[43],"peculiarities":[45],"of":[46,56,63,90,124,136,151],"directional":[47],"data.":[48],"The":[49,92,156,180],"represented":[52],"mixture":[55,110,125],"distributions,":[59,69],"thus":[60],"offering":[61],"advantages":[62],"being":[64],"able":[65],"to":[66,78,162,190],"model":[67,114],"multimodal":[68],"handle":[70],"nonlinear":[71],"transition":[73],"models,":[76],"cover":[80],"whole":[82],"space,":[84],"all":[85],"modest":[88],"number":[89,123],"parameters.":[91],"solved":[96],"by":[97],"convolution":[98],"distribution":[103],"(prediction":[104],"step)":[105],"multiplication":[107],"representing":[111],"(update":[115],"step).":[116],"Since":[117],"in":[118,167],"update":[120],"step":[121],"components":[126],"grows":[127],"exponentially,":[128],"presented":[132],"component":[134],"reduction":[135],"mixture.":[140,155],"Furthermore,":[141],"closed-form":[143],"solution":[144],"derived":[146],"quadratic":[148],"R\u00e9nyi":[149],"entropy":[150],"algorithm":[157],"tested":[159],"compared":[161],"particle":[164,192],"filter":[165],"representation":[166],"speaker":[169],"scenario":[171],"on":[172],"synthetic":[174],"data":[175],"set":[176],"real-world":[178],"recordings.":[179],"results":[181],"supported":[182],"proposed":[184],"approach":[185],"showed":[187],"similar":[188],"performance":[189],"filter.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
