{"id":"https://openalex.org/W2807345098","doi":"https://doi.org/10.1109/tiv.2019.2938093","title":"Multisensor Poisson Multi-Bernoulli Filter for Joint Target\u2013Sensor State Tracking","display_name":"Multisensor Poisson Multi-Bernoulli Filter for Joint Target\u2013Sensor State Tracking","publication_year":2019,"publication_date":"2019-08-28","ids":{"openalex":"https://openalex.org/W2807345098","doi":"https://doi.org/10.1109/tiv.2019.2938093","mag":"2807345098"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2019.2938093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2019.2938093","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1712.08146","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048144150","display_name":"Markus Fr\u00f6hle","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086940","display_name":"Zenuity (Sweden)","ror":"https://ror.org/000dpyn16","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210086940"]},{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Markus Frohle","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","Zenuity AB, Gothenburg, Sweden","[Dept. of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden]"],"raw_orcid":"https://orcid.org/0000-0002-5274-2933","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Zenuity AB, Gothenburg, Sweden","institution_ids":["https://openalex.org/I4210086940"]},{"raw_affiliation_string":"[Dept. of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035197623","display_name":"Christopher Lindberg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher Lindberg","raw_affiliation_strings":["DENSO Sweden AB, Gothenburg, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DENSO Sweden AB, Gothenburg, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027594680","display_name":"Karl Granstr\u00f6m","orcid":"https://orcid.org/0000-0002-3450-988X"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Karl Granstrom","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","[Dept. of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden]"],"raw_orcid":"https://orcid.org/0000-0002-3450-988X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Dept. of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033860704","display_name":"Henk Wymeersch","orcid":"https://orcid.org/0000-0002-1298-6159"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Henk Wymeersch","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","[Dept. of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden]"],"raw_orcid":"https://orcid.org/0000-0002-1298-6159","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"[Dept. of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden]","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048144150"],"corresponding_institution_ids":["https://openalex.org/I4210086940","https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":0.7225,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77650403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"4","issue":"4","first_page":"609","last_page":"621"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9638000130653381,"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":0.6410180330276489},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5740009546279907},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.5601849555969238},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5520275235176086},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5423527359962463},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.514339804649353},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.41585254669189453},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4145287275314331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36352992057800293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3411864638328552},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3274000883102417},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32487642765045166},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.27263763546943665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23543819785118103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23494106531143188},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11210083961486816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6410180330276489},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5740009546279907},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.5601849555969238},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5520275235176086},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5423527359962463},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.514339804649353},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.41585254669189453},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4145287275314331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36352992057800293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3411864638328552},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3274000883102417},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32487642765045166},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.27263763546943665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23543819785118103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23494106531143188},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11210083961486816},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tiv.2019.2938093","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2019.2938093","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1712.08146","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.08146","pdf_url":"https://arxiv.org/pdf/1712.08146","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:2807345098","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1712.08146.pdf","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":"pmh:oai:research.chalmers.se:516401","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/516401","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"doi:10.48550/arxiv.1712.08146","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1712.08146","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:1712.08146","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.08146","pdf_url":"https://arxiv.org/pdf/1712.08146","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2807345098.pdf","grobid_xml":"https://content.openalex.org/works/W2807345098.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1909771825","https://openalex.org/W1964882361","https://openalex.org/W1974119114","https://openalex.org/W1997116353","https://openalex.org/W2040398233","https://openalex.org/W2059373563","https://openalex.org/W2079034501","https://openalex.org/W2106873007","https://openalex.org/W2110012495","https://openalex.org/W2137585588","https://openalex.org/W2146881125","https://openalex.org/W2149390325","https://openalex.org/W2154353836","https://openalex.org/W2157316965","https://openalex.org/W2160337655","https://openalex.org/W2161435744","https://openalex.org/W2169346523","https://openalex.org/W2293128770","https://openalex.org/W2327669095","https://openalex.org/W2461937780","https://openalex.org/W2511568459","https://openalex.org/W2514912345","https://openalex.org/W2523112045","https://openalex.org/W2595600061","https://openalex.org/W2758107681","https://openalex.org/W2765808434","https://openalex.org/W2786070790","https://openalex.org/W2808712940","https://openalex.org/W2889487010","https://openalex.org/W2963815141","https://openalex.org/W6609503666","https://openalex.org/W6633511732"],"related_works":["https://openalex.org/W2970258442","https://openalex.org/W2019546057","https://openalex.org/W2894226520","https://openalex.org/W2088117020","https://openalex.org/W2088794310","https://openalex.org/W2069805491","https://openalex.org/W2887669262","https://openalex.org/W2099599795","https://openalex.org/W1809385144","https://openalex.org/W1540157927","https://openalex.org/W2953124334","https://openalex.org/W2170605646","https://openalex.org/W2079754900","https://openalex.org/W1968608932","https://openalex.org/W2170865389","https://openalex.org/W2368982529","https://openalex.org/W2911841772","https://openalex.org/W3021540940","https://openalex.org/W1953350713","https://openalex.org/W2082014790"],"abstract_inverted_index":{"In":[0,74,121],"a":[1,39,49,79,127,131,145,183],"typical":[2],"multitarget":[3],"tracking":[4,15],"(MTT)":[5],"scenario,":[6,186],"the":[7,19,30,42,60,64,68,90,115,135,162,168,188],"sensor":[8,69,119,128],"state":[9,44,93,136,165,194],"is":[10,16,36,56,70,151,157],"either":[11],"assumed":[12],"known,":[13],"or":[14],"performed":[17],"in":[18,48,182],"sensor's":[20],"(relative)":[21],"coordinate":[22,52],"frame.":[23,53],"This":[24],"assumption":[25],"does":[26],"not":[27],"hold":[28],"when":[29],"sensor,":[31],"e.g.,":[32],"an":[33],"automotive":[34],"radar,":[35],"mounted":[37,71,102,129],"on":[38,66,103,114,130],"vehicle,":[40],"and":[41,94],"target":[43,95],"should":[45],"be":[46],"represented":[47],"global":[50],"(absolute)":[51],"Then":[54],"it":[55],"important":[57],"to":[58],"consider":[59],"uncertain":[61,91],"location":[62,108],"of":[63,117,138,149,161,191],"vehicle":[65,92,133,184],"which":[67,87],"for":[72],"MTT.":[73],"this":[75],"paper,":[76],"we":[77],"present":[78],"multisensor":[80],"low":[81,154],"complexity":[82,155],"Poisson":[83],"multi-Bernoulli":[84],"MTT":[85],"filter,":[86],"jointly":[88],"tracks":[89],"states.":[96],"Measurements":[97],"collected":[98,181],"by":[99,159],"different":[100],"sensors":[101],"multiple":[104],"vehicles":[105],"with":[106],"varying":[107],"uncertainty":[109,137],"are":[110],"incorporated":[111],"sequentially":[112],"based":[113],"arrival":[116],"new":[118],"measurements.":[120],"doing":[122],"so,":[123],"targets":[124,150],"observed":[125],"from":[126,173],"well-localized":[132],"reduce":[134],"other":[139],"poorly":[140],"localized":[141],"vehicles,":[142],"provided":[143],"that":[144],"common":[146],"non-empty":[147],"subset":[148],"observed.":[152],"A":[153],"filter":[156],"obtained":[158],"approximations":[160],"joint":[163,192],"sensor-target":[164],"density":[166],"minimizing":[167],"Kullback-Leibler":[169],"divergence":[170],"(KLD).":[171],"Results":[172],"synthetic":[174],"as":[175,177],"well":[176],"experimental":[178],"measurement":[179],"data,":[180],"driving":[185],"demonstrate":[187],"performance":[189],"benefits":[190],"vehicle-target":[193],"tracking.":[195]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2022-10-07T00:00:00"}