{"id":"https://openalex.org/W2890675736","doi":"https://doi.org/10.23919/icif.2018.8455480","title":"3D Extended Object Tracking Using Recursive Gaussian Processes","display_name":"3D Extended Object Tracking Using Recursive Gaussian Processes","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2890675736","doi":"https://doi.org/10.23919/icif.2018.8455480","mag":"2890675736"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2018.8455480","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},"type":"article","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/A5026188504","display_name":"Murat Kumru","orcid":"https://orcid.org/0000-0003-2907-4559"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Murat Kumru","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076360059","display_name":"Emre \u00d6zkan","orcid":"https://orcid.org/0000-0002-0380-2928"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Emre Ozkan","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026188504"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":3.3845,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.93945636,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9901000261306763,"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":0.9853000044822693,"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/computer-science","display_name":"Computer science","score":0.7089659571647644},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.674523651599884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6615591049194336},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6546413898468018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6259593963623047},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5979238748550415},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5894394516944885},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5808696746826172},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5477359890937805},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5228022336959839},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5209401845932007},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5149756073951721},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5101435780525208},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4417416751384735},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4404899477958679},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3619140684604645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1636808216571808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7089659571647644},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.674523651599884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6615591049194336},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6546413898468018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6259593963623047},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5979238748550415},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5894394516944885},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5808696746826172},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5477359890937805},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5228022336959839},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5209401845932007},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5149756073951721},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5101435780525208},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4417416751384735},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4404899477958679},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3619140684604645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1636808216571808},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/icif.2018.8455480","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/34474","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/34474","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"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 Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W31424620","https://openalex.org/W1528365279","https://openalex.org/W1559022906","https://openalex.org/W1563029181","https://openalex.org/W1746819321","https://openalex.org/W1800125932","https://openalex.org/W1966447678","https://openalex.org/W2045197391","https://openalex.org/W2046275733","https://openalex.org/W2058568645","https://openalex.org/W2078812312","https://openalex.org/W2091651498","https://openalex.org/W2107153006","https://openalex.org/W2117215586","https://openalex.org/W2122469428","https://openalex.org/W2144598923","https://openalex.org/W2170790908","https://openalex.org/W2218307222","https://openalex.org/W2511369105","https://openalex.org/W2551421619","https://openalex.org/W2964064111","https://openalex.org/W3149903116","https://openalex.org/W4211049957","https://openalex.org/W6601271567","https://openalex.org/W6631682160","https://openalex.org/W6633593558","https://openalex.org/W6678239302","https://openalex.org/W6704306196"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W2295788148","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W3126423817"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,111],"consider":[4],"the":[5,24,27,41,45,64,70,85,89,92,113,124],"challenging":[6],"task":[7],"of":[8,26,39,44,69,91,116],"tracking":[9,40],"dynamic":[10,42],"3D":[11,52],"objects":[12,71],"with":[13],"unknown":[14,65],"shapes":[15],"by":[16,98],"using":[17],"sparse":[18],"point":[19],"cloud":[20],"measurements":[21],"gathered":[22],"from":[23],"surface":[25],"objects.":[28],"We":[29],"propose":[30],"a":[31,76,117],"Gaussian":[32,77],"process":[33],"based":[34],"algorithm":[35],"that":[36],"is":[37,72,96,104],"capable":[38],"behavior":[43],"object":[46],"and":[47,88],"learn":[48],"its":[49],"shape":[50,68,90],"in":[51],"simultaneously.":[53],"Our":[54],"solution":[55],"does":[56],"not":[57],"require":[58],"any":[59],"parametric":[60],"model":[61],"assumption":[62],"for":[63,106],"shape.":[66],"The":[67,79,94],"learned":[73],"online":[74,107],"via":[75],"process.":[78],"proposed":[80],"method":[81],"can":[82],"jointly":[83],"estimate":[84],"position,":[86],"orientation,":[87],"object.":[93],"inference":[95],"performed":[97],"an":[99],"extended":[100],"Kalman":[101],"filter":[102],"which":[103,120],"suitable":[105],"real-time":[108],"applications.":[109],"Lastly,":[110],"demonstrate":[112],"initial":[114],"results":[115],"promising":[118],"approach,":[119],"aims":[121],"at":[122],"reducing":[123],"computational":[125],"complexity.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
