{"id":"https://openalex.org/W3012836302","doi":"https://doi.org/10.23919/fusion45008.2020.9190167","title":"Extended Existence Probability Using Digital Maps for Object Verification","display_name":"Extended Existence Probability Using Digital Maps for Object Verification","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3012836302","doi":"https://doi.org/10.23919/fusion45008.2020.9190167","mag":"3012836302"},"language":"en","primary_location":{"id":"doi:10.23919/fusion45008.2020.9190167","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion45008.2020.9190167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.10316","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086582781","display_name":"Fabian Gies","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Fabian Gies","raw_affiliation_strings":["Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany","Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009080466","display_name":"Joachim Posselt","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joachim Posselt","raw_affiliation_strings":["Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany","Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086575471","display_name":"Michael Buchholz","orcid":"https://orcid.org/0000-0001-5973-0794"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Buchholz","raw_affiliation_strings":["Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany","Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085054529","display_name":"Klaus Dietmayer","orcid":"https://orcid.org/0000-0002-1651-014X"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Dietmayer","raw_affiliation_strings":["Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany","Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081"],"affiliations":[{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Institute of Measurement, Control and Microtechnology, Ulm University,Ulm,Germany,89081","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086582781"],"corresponding_institution_ids":["https://openalex.org/I196349391"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02825235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9902999997138977,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/computer-science","display_name":"Computer science","score":0.7425345778465271},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7202224135398865},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6973060369491577},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6766200661659241},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5851914286613464},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.49927306175231934},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4706936180591583},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.45399317145347595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4393526613712311},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41869550943374634},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.410675972700119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3625902533531189},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3581414818763733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22067126631736755},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08880853652954102},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07365679740905762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425345778465271},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7202224135398865},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6973060369491577},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6766200661659241},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5851914286613464},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.49927306175231934},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4706936180591583},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.45399317145347595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4393526613712311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41869550943374634},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.410675972700119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3625902533531189},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3581414818763733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22067126631736755},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08880853652954102},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07365679740905762},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.23919/fusion45008.2020.9190167","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion45008.2020.9190167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2003.10316","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.10316","pdf_url":"https://arxiv.org/pdf/2003.10316","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"},{"id":"mag:3012836302","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2003.10316","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2003.10316","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.10316","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.10316","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.10316","pdf_url":"https://arxiv.org/pdf/2003.10316","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":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3012836302.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1507290626","https://openalex.org/W1909771825","https://openalex.org/W2102811245","https://openalex.org/W2118846356","https://openalex.org/W2158698691","https://openalex.org/W2603128835","https://openalex.org/W2792826686","https://openalex.org/W2904147910","https://openalex.org/W2905081681","https://openalex.org/W2905509562","https://openalex.org/W2911486422","https://openalex.org/W2939308603","https://openalex.org/W2944551804"],"related_works":["https://openalex.org/W3105966614","https://openalex.org/W3193167615","https://openalex.org/W3010334993","https://openalex.org/W2405621054","https://openalex.org/W2904147910","https://openalex.org/W96240662","https://openalex.org/W2251654991","https://openalex.org/W2160316204","https://openalex.org/W948894982","https://openalex.org/W50595810","https://openalex.org/W2184265166","https://openalex.org/W1761788141","https://openalex.org/W2009427668","https://openalex.org/W127764718","https://openalex.org/W1964395255","https://openalex.org/W2169375439","https://openalex.org/W3000141390","https://openalex.org/W3203066502","https://openalex.org/W3048862728","https://openalex.org/W2472232870"],"abstract_inverted_index":{"A":[0],"main":[1],"task":[2],"for":[3,122],"automated":[4],"vehicles":[5],"is":[6,23,92,130,157],"an":[7,14,88,118],"accurate":[8],"and":[9,17,116,161],"robust":[10],"environment":[11],"perception.":[12],"Especially,":[13],"error-free":[15],"detection":[16],"modeling":[18],"of":[19,24,61,83,97,147,166],"other":[20],"traffic":[21,63],"participants":[22,64],"great":[25],"importance":[26],"to":[27,57,79,136,159,162],"drive":[28],"safely":[29],"in":[30,65,171],"any":[31],"situation.":[32],"For":[33,69],"this":[34,70,138],"purpose,":[35],"multi-object":[36],"tracking":[37],"algorithms,":[38],"based":[39],"on":[40,102],"object":[41,52,89],"detections":[42],"from":[43],"raw":[44],"sensor":[45],"measurements,":[46],"are":[47,106],"commonly":[48],"used.":[49],"However,":[50],"false":[51,148],"hypotheses":[53],"can":[54],"occur":[55],"due":[56],"a":[58,76,84,103,109,127],"high":[59],"density":[60],"different":[62],"complex,":[66],"arbitrary":[67],"scenarios.":[68,173],"reason,":[71],"the":[72,81,95,113,145,164,167],"presented":[73,142,168],"approach":[74],"introduces":[75],"probabilistic":[77,110],"model":[78,111,135],"verify":[80],"existence":[82,105,120],"tracked":[85],"object.":[86],"Therefore,":[87],"verification":[90],"module":[91],"introduced,":[93],"where":[94],"influences":[96,115],"multiple":[98],"digital":[99],"map":[100],"elements":[101],"track's":[104],"evaluated.":[107],"Finally,":[108],"fuses":[112],"various":[114],"estimates":[117],"extended":[119],"probability":[121],"every":[123],"track.":[124],"In":[125],"addition,":[126],"Bayes":[128],"Net":[129],"implemented":[131],"as":[132],"directed":[133],"graphical":[134],"highlight":[137,163],"work's":[139],"expandability.":[140],"The":[141],"approach,":[143,169],"reduces":[144],"number":[146],"positives,":[149],"while":[150],"retaining":[151],"true":[152],"positives.":[153],"Real":[154],"world":[155],"data":[156],"used":[158],"evaluate":[160],"benefits":[165],"especially":[170],"urban":[172]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}