{"id":"https://openalex.org/W2563842810","doi":"https://doi.org/10.1109/itsc.2016.7795906","title":"Cooperative multiple dynamic object tracking on moving vehicles based on Sequential Monte Carlo Probability Hypothesis Density filter","display_name":"Cooperative multiple dynamic object tracking on moving vehicles based on Sequential Monte Carlo Probability Hypothesis Density filter","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2563842810","doi":"https://doi.org/10.1109/itsc.2016.7795906","mag":"2563842810"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/221384","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113793440","display_name":"Jonathan Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I2799323385","display_name":"Board of the Swiss Federal Institutes of Technology","ror":"https://ror.org/01rvn4p91","country_code":"CH","type":"government","lineage":["https://openalex.org/I2799323385"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Jonathan Gan","raw_affiliation_strings":["Department of Mechanical and Process Engineering, Eidgen\u00f6ssische Technische Hochschule (ETH) Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Process Engineering, Eidgen\u00f6ssische Technische Hochschule (ETH) Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101942680","display_name":"Milo\u0161 Vasi\u0107","orcid":"https://orcid.org/0000-0002-5743-6038"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Milos Vasic","raw_affiliation_strings":["Distributed Intelligent Systems and Algorithms Laboratory (DISAL), Ecole Poly technique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland"],"affiliations":[{"raw_affiliation_string":"Distributed Intelligent Systems and Algorithms Laboratory (DISAL), Ecole Poly technique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080713076","display_name":"Alcherio Martinoli","orcid":"https://orcid.org/0000-0002-5201-7862"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alcherio Martinoli","raw_affiliation_strings":["Distributed Intelligent Systems and Algorithms Laboratory (DISAL), Ecole Poly technique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland"],"affiliations":[{"raw_affiliation_string":"Distributed Intelligent Systems and Algorithms Laboratory (DISAL), Ecole Poly technique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113793440"],"corresponding_institution_ids":["https://openalex.org/I2799323385","https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":2.217,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.9130193,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2163","last_page":"2170"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.983299970626831,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9606000185012817,"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":0.7062947154045105},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6719624400138855},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6623039245605469},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5912766456604004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5898875594139099},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.582260251045227},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5560693144798279},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.5284196138381958},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.503905713558197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47810667753219604},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4686153531074524},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.24902558326721191},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1791200339794159},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1364113986492157},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08097931742668152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7062947154045105},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6719624400138855},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6623039245605469},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5912766456604004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5898875594139099},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.582260251045227},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5560693144798279},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.5284196138381958},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.503905713558197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47810667753219604},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4686153531074524},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.24902558326721191},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1791200339794159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1364113986492157},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08097931742668152},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/itsc.2016.7795906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:221384","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/221384","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.tind.io:221384","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/129428","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:221384","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/221384","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W586755575","https://openalex.org/W1520710862","https://openalex.org/W1557595030","https://openalex.org/W1673310716","https://openalex.org/W1939172128","https://openalex.org/W1977534285","https://openalex.org/W1990511877","https://openalex.org/W1994684794","https://openalex.org/W1999616028","https://openalex.org/W2011832962","https://openalex.org/W2014787937","https://openalex.org/W2014824949","https://openalex.org/W2020934227","https://openalex.org/W2024838825","https://openalex.org/W2088373424","https://openalex.org/W2097485728","https://openalex.org/W2103124057","https://openalex.org/W2108064043","https://openalex.org/W2123487311","https://openalex.org/W2126885789","https://openalex.org/W2137585588","https://openalex.org/W2157664516","https://openalex.org/W2336416123","https://openalex.org/W2571050459","https://openalex.org/W6633511732","https://openalex.org/W6637131181","https://openalex.org/W6655473528","https://openalex.org/W6675414472"],"related_works":["https://openalex.org/W3110195467","https://openalex.org/W4253883008","https://openalex.org/W2103761320","https://openalex.org/W2358167375","https://openalex.org/W2031992971","https://openalex.org/W116564642","https://openalex.org/W1983380679","https://openalex.org/W1981649169","https://openalex.org/W2357354286","https://openalex.org/W2388705266"],"abstract_inverted_index":{"This":[0,114],"paper":[1],"proposes":[2],"a":[3,27,36,58,77,145],"generalized":[4],"method":[5,89,115,143],"for":[6,22,41,76,92,98,148],"tracking":[7,130],"of":[8,49,84,129,150],"multiple":[9],"objects":[10],"from":[11,51],"moving,":[12],"cooperative":[13,38,100],"vehicles":[14,53,101,131,149],"-":[15],"bringing":[16],"together":[17],"an":[18,93],"Unscented":[19],"Kalman":[20],"Filter":[21],"vehicle":[23],"localization":[24,127],"and":[25,122,153],"extending":[26],"Sequential":[28],"Monte":[29],"Carlo":[30],"Probability":[31],"Hypothesis":[32],"Density":[33],"filter":[34],"with":[35],"novel":[37],"fusion":[39,48,71],"algorithm":[40],"tracking.":[42],"The":[43],"latter":[44],"ensures":[45],"that":[46],"the":[47,82,85,108,111],"information":[50],"cooperating":[52],"is":[54],"not":[55],"limited":[56],"to":[57,81],"fully":[59],"overlapping":[60,112],"Field":[61],"Of":[62],"View":[63],"(FOV),":[64],"as":[65,124,126],"usually":[66],"assumed":[67],"in":[68,110],"popular":[69],"distributed":[70],"literature,":[72],"but":[73],"also":[74,116],"allows":[75,91],"perceptual":[78],"extension":[79],"corresponding":[80],"union":[83],"vehicles'":[86],"FOV.":[87,113],"Our":[88],"hence":[90],"overall":[94],"extended":[95],"perception":[96],"range":[97],"all":[99],"involved,":[102],"while":[103],"preserving":[104],"same":[105],"or":[106],"improving":[107],"accuracy":[109],"successfully":[117],"mitigates":[118],"noisy":[119],"sensor":[120],"measurement":[121],"clutter,":[123],"well":[125],"inaccuracies":[128],"using":[132,144],"Global":[133],"Navigation":[134],"Satellite":[135],"Systems":[136],"(GNSS).":[137],"Finally,":[138],"we":[139],"extensively":[140],"evaluate":[141],"our":[142],"high-fidelity":[146],"simulator":[147],"varying":[151],"speed":[152],"trajectories.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}