{"id":"https://openalex.org/W4403331998","doi":"https://doi.org/10.23919/fusion59988.2024.10706405","title":"A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing","display_name":"A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4403331998","doi":"https://doi.org/10.23919/fusion59988.2024.10706405"},"language":"en","primary_location":{"id":"doi:10.23919/fusion59988.2024.10706405","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","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/A5016286043","display_name":"Marco Fontana","orcid":"https://orcid.org/0000-0003-0703-6535"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marco Fontana","raw_affiliation_strings":["University of Liverpool,Dept. of Electrical Engineering and Electronics,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool,Dept. of Electrical Engineering and Electronics,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109025441","display_name":"Thomas Hayder","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Hayder","raw_affiliation_strings":["Sensonic GmbH,Schärding,Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensonic GmbH,Schärding,Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109025442","display_name":"William Freilinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William Freilinger","raw_affiliation_strings":["Sensonic GmbH,Schärding,Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensonic GmbH,Schärding,Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049418113","display_name":"\u00c1ngel F. Garc\u00eda\u2010Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-6471-8455"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"\u00c1ngel F. Garc\u00eda-Fern\u00e1ndez","raw_affiliation_strings":["University of Liverpool,Dept. of Electrical Engineering and Electronics,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool,Dept. of Electrical Engineering and Electronics,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083636287","display_name":"Simon Maskell","orcid":"https://orcid.org/0000-0003-1917-2913"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Maskell","raw_affiliation_strings":["University of Liverpool,Dept. of Electrical Engineering and Electronics,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool,Dept. of Electrical Engineering and Electronics,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37694301,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12537","display_name":"Flow Measurement and Analysis","score":0.7203999757766724,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12537","display_name":"Flow Measurement and Analysis","score":0.7203999757766724,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11220","display_name":"Water Systems and Optimization","score":0.6462000012397766,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.6421999931335449,"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/train","display_name":"Train","score":0.6440913081169128},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.6395360231399536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5927395820617676},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5480766296386719},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5458163022994995},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.46675968170166016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14392414689064026},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11681488156318665},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09732893109321594},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.08562394976615906}],"concepts":[{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.6440913081169128},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.6395360231399536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5927395820617676},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5480766296386719},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5458163022994995},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.46675968170166016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14392414689064026},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11681488156318665},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09732893109321594},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.08562394976615906},{"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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion59988.2024.10706405","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W652333456","https://openalex.org/W1487494573","https://openalex.org/W1965106715","https://openalex.org/W2001022516","https://openalex.org/W2006336681","https://openalex.org/W2057791985","https://openalex.org/W2069167397","https://openalex.org/W2110012495","https://openalex.org/W2114369752","https://openalex.org/W2296664252","https://openalex.org/W2313453736","https://openalex.org/W2341459421","https://openalex.org/W2595600061","https://openalex.org/W2907897161","https://openalex.org/W2948034885","https://openalex.org/W2964064111","https://openalex.org/W3013404017","https://openalex.org/W3101703006","https://openalex.org/W3101735304","https://openalex.org/W3102355812","https://openalex.org/W3105545460","https://openalex.org/W3187867541","https://openalex.org/W3201409186","https://openalex.org/W4323519349","https://openalex.org/W6621804394"],"related_works":["https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W1568097102","https://openalex.org/W4390419160","https://openalex.org/W1601203902","https://openalex.org/W2075798043","https://openalex.org/W2102464536","https://openalex.org/W2061675390","https://openalex.org/W1967524736","https://openalex.org/W3011535717"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"extended":[4],"target":[5,91],"tracking":[6],"method":[7,49],"to":[8,38,67,80,94],"track":[9],"trains":[10,79],"using":[11,21],"Distributed":[12],"Acoustic":[13],"Sensing":[14],"(DAS)":[15],"data.":[16],"The":[17,48],"problem":[18],"is":[19],"approached":[20],"a":[22,27,32,39,65],"measurement":[23],"likelihood":[24],"based":[25],"on":[26,31],"Set":[28],"of":[29,42,57],"Points":[30],"Rigid":[33],"Body":[34],"(SPRB)":[35],"model":[36],"applied":[37],"clustered":[40],"version":[41],"the":[43,55,83],"Poisson":[44],"Multi-Bernoulli":[45],"Mixture":[46],"filter.":[47],"efficiently":[50],"handles":[51],"asymmetric":[52],"noise":[53],"within":[54],"set":[56],"measurements":[58,69],"returned":[59],"by":[60],"each":[61],"train,":[62],"and":[63,89],"proposes":[64],"solution":[66],"merged":[68],"appearing":[70],"at":[71],"crossings.":[72],"We":[73],"use":[74],"experimental":[75],"data":[76],"obtained":[77],"from":[78],"show":[81],"that":[82],"proposed":[84],"algorithm":[85],"has":[86],"lower":[87],"localisation":[88],"false":[90],"error,":[92],"leading":[93],"better":[95],"performance":[96],"in":[97],"terms":[98],"generalized":[99],"optimal":[100],"sub-pattern":[101],"assignment":[102],"(GOSPA)":[103],"metric.":[104]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}