{"id":"https://openalex.org/W2517016292","doi":"https://doi.org/10.1109/ivs.2016.7535395","title":"Why the association log-likelihood distance should be used for measurement-to-track association","display_name":"Why the association log-likelihood distance should be used for measurement-to-track association","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2517016292","doi":"https://doi.org/10.1109/ivs.2016.7535395","mag":"2517016292"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2016.7535395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1508.04124","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014546472","display_name":"Richard Altendorfer","orcid":"https://orcid.org/0000-0003-2884-8444"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Richard Altendorfer","raw_affiliation_strings":["Driver Assistance Systems, ZF TRW, Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"Driver Assistance Systems, ZF TRW, Koblenz, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043293243","display_name":"Sebastian Wirkert","orcid":null},"institutions":[{"id":"https://openalex.org/I17937529","display_name":"German Cancer Research Center","ror":"https://ror.org/04cdgtt98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529"]},{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Wirkert","raw_affiliation_strings":["German Cancer Research Center, Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"German Cancer Research Center, Heidelberg, Germany","institution_ids":["https://openalex.org/I17937529","https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014546472"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4284,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78796999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"258","last_page":"265"},"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":0.9836000204086304,"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":0.9836000204086304,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9793000221252441,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.7971083521842957},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.6118341088294983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5630955100059509},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5426128506660461},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45102542638778687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33483535051345825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21160787343978882},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1183062493801117}],"concepts":[{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.7971083521842957},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.6118341088294983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630955100059509},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5426128506660461},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45102542638778687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33483535051345825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21160787343978882},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1183062493801117},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivs.2016.7535395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1508.04124","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1508.04124","pdf_url":"https://arxiv.org/pdf/1508.04124","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1508.04124","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1508.04124","pdf_url":"https://arxiv.org/pdf/1508.04124","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1540596182","https://openalex.org/W1663421356","https://openalex.org/W1992830068","https://openalex.org/W2009070933","https://openalex.org/W2014787937","https://openalex.org/W2040472285","https://openalex.org/W2055762251","https://openalex.org/W2058130919","https://openalex.org/W2108874030","https://openalex.org/W2110012497","https://openalex.org/W2127923214","https://openalex.org/W2140242774","https://openalex.org/W2141461755","https://openalex.org/W2151624311","https://openalex.org/W2269459425","https://openalex.org/W4285719527","https://openalex.org/W6632267817","https://openalex.org/W6693610158"],"related_works":["https://openalex.org/W2789518417","https://openalex.org/W4213217485","https://openalex.org/W2389084676","https://openalex.org/W1998764991","https://openalex.org/W2352562594","https://openalex.org/W2031358465","https://openalex.org/W2375117482","https://openalex.org/W1987018761","https://openalex.org/W286567303","https://openalex.org/W2007874760"],"abstract_inverted_index":{"The":[0],"Mahalanobis":[1,19,39,86,161],"distance":[2,20,40,46,87,92,140,152,185],"is":[3,30,171],"commonly":[4],"used":[5],"in":[6,25,33,98,136],"multi-object":[7,34],"trackers":[8],"for":[9,70],"measurement-to-track":[10],"association.":[11,26],"Starting":[12],"with":[13],"the":[14,18,38,49,58,82,85,89,113,126,129,133,137,142,151,160,165,179],"original":[15],"definition":[16],"of":[17,53,84,117,128,167,181],"we":[21,47,73,102],"review":[22],"its":[23],"use":[24,103],"Given":[27],"that":[28,36,111,148,164],"there":[29],"no":[31],"principle":[32],"tracking":[35,56],"sets":[37],"apart":[41],"as":[42,57,76],"a":[43,67,104,118,172,182],"distinguished":[44],"statistical":[45,184],"revisit":[48],"global":[50,168],"association":[51,61,64,77,90,96,114,138,155,169,177],"hypotheses":[52,65,170],"multiple":[54],"hypothesis":[55],"most":[59],"general":[60],"setting.":[62],"Those":[63],"induce":[66],"distance-like":[68],"quantity":[69],"assignment":[71,143],"which":[72],"refer":[74],"to":[75,88,93,107,132,176],"log-likelihood":[78,91,139,156],"distance.":[79],"We":[80,123],"compare":[81],"ability":[83],"yield":[94],"correct":[95],"relations":[97],"Monte-Carlo":[99],"simulations.":[100],"Here,":[101],"novel":[105],"method":[106],"generate":[108],"multi-track":[109],"scenarios":[110],"make":[112],"evaluation":[115],"independent":[116],"specific":[119],"track":[120],"management":[121],"scheme.":[122],"also":[124],"explore":[125],"influence":[127],"term":[130],"proportional":[131],"measurement":[134],"dimension":[135],"on":[141,149,154],"performance.":[144],"It":[145],"turns":[146],"out":[147],"average":[150],"based":[153],"performs":[157],"better":[158],"than":[159,178],"distance,":[162],"confirming":[163],"maximization":[166],"more":[173],"fundamental":[174],"approach":[175],"minimization":[180],"certain":[183],"measure.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-09-16T00:00:00"}