{"id":"https://openalex.org/W2057029178","doi":"https://doi.org/10.1109/ivs.2013.6629653","title":"Joint Probabilistic Data Association fusion approach for pedestrian detection","display_name":"Joint Probabilistic Data Association fusion approach for pedestrian detection","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2057029178","doi":"https://doi.org/10.1109/ivs.2013.6629653","mag":"2057029178"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10016/23622","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081249956","display_name":"Fernando Garc\u00eda","orcid":"https://orcid.org/0000-0002-6291-5009"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Fernando Garcia","raw_affiliation_strings":["Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Spain","Intell. Syst. Lab., Univ. Carlos III de Madrid, Legane\u0301s, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Intell. Syst. Lab., Univ. Carlos III de Madrid, Legane\u0301s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042213241","display_name":"Arturo de la Escalera","orcid":"https://orcid.org/0000-0002-2618-857X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Arturo de la Escalera","raw_affiliation_strings":["Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Spain","Intell. Syst. Lab., Univ. Carlos III de Madrid, Legane\u0301s, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Intell. Syst. Lab., Univ. Carlos III de Madrid, Legane\u0301s, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026614974","display_name":"Jos\u00e9 Mar\u00eda Armingol","orcid":"https://orcid.org/0000-0002-3353-9956"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Maria Armingol","raw_affiliation_strings":["Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Spain","Intell. Syst. Lab., Univ. Carlos III de Madrid, Legane\u0301s, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Intell. Syst. Lab., Univ. Carlos III de Madrid, Legane\u0301s, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081249956"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":1.7942,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85621318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1344","last_page":"1349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.7508320808410645},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7318010330200195},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.694572389125824},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.619377076625824},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5803318023681641},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5417187809944153},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5219796895980835},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.504677414894104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4915996491909027},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.483095645904541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4614511728286743},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3339054584503174},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12446042895317078}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508320808410645},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7318010330200195},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.694572389125824},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.619377076625824},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5803318023681641},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5417187809944153},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5219796895980835},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.504677414894104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4915996491909027},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.483095645904541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4614511728286743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3339054584503174},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12446042895317078},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivs.2013.6629653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:dnet:earchivo____::f024a906636defb3640ee8920a4b255a","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/23622","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:dnet:earchivo____::f024a906636defb3640ee8920a4b255a","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/23622","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1646998587","https://openalex.org/W2012860744","https://openalex.org/W2047151198","https://openalex.org/W2074602185","https://openalex.org/W2100242026","https://openalex.org/W2104584763","https://openalex.org/W2137043528","https://openalex.org/W2161969291","https://openalex.org/W3083767870","https://openalex.org/W3149553225"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W1885346831","https://openalex.org/W2165640264","https://openalex.org/W2384762704","https://openalex.org/W2121243059","https://openalex.org/W2151694338","https://openalex.org/W2368009697","https://openalex.org/W1437594004","https://openalex.org/W2372861085"],"abstract_inverted_index":{"Fusion":[0],"is":[1,47],"becoming":[2],"a":[3,30,81],"classic":[4],"topic":[5],"in":[6,142],"Intelligent":[7],"Transport":[8],"System":[9],"(ITS)":[10],"society.":[11],"The":[12,49,75,126,145],"lack":[13],"of":[14,20,36,53,58,71,89,112,115,135],"trustworthy":[15],"sensors":[16,96],"requires":[17],"the":[18,37,54,68,87,108,113,133,153],"combination":[19],"several":[21],"devices":[22],"to":[23,66],"provide":[24],"reliable":[25],"detections.":[26],"In":[27],"this":[28],"paper":[29],"novel":[31],"approach,":[32],"that":[33,80,150],"takes":[34,110],"advantage":[35,111],"Joint":[38],"Probabilistic":[39],"Data":[40],"Association":[41],"technique":[42,84],"(JPDA)":[43],"for":[44,99],"data":[45,158],"association,":[46],"presented.":[48],"approach":[50,109],"uses":[51],"one":[52],"most":[55],"powerful":[56,82],"techniques":[57],"Multiple":[59],"Target":[60],"Tracking":[61],"theory":[62],"and":[63,104,122],"adapts":[64],"it":[65],"fulfill":[67],"strong":[69],"requirements":[70],"road":[72],"safety":[73],"applications.":[74],"different":[76],"test":[77,146],"performed":[78,147],"proved":[79],"association":[83,159],"can":[85],"enhance":[86],"capacity":[88],"Advance":[90],"Driver":[91],"Assistance":[92],"Systems.":[93],"Two":[94],"main":[95],"are":[97,128],"used":[98],"pedestrian":[100,137],"detection:":[101],"laser":[102],"scanner":[103],"computer":[105],"vision.":[106],"Furthermore,":[107],"availability":[114],"other":[116,157],"information":[117,121,124],"sources":[118],"i.e.":[119],"context":[120],"online":[123],"(GPS).":[125],"detections":[127],"fused":[129],"using":[130],"JPDA,":[131],"enhancing":[132],"capacities":[134],"classical":[136],"detection":[138],"systems,":[139],"mainly":[140],"based":[141],"visual":[143],"information.":[144],"also":[148],"showed":[149],"JPDA":[151],"improved":[152],"results":[154],"offered":[155],"by":[156],"techniques,":[160],"e.g.":[161],"Global":[162],"Nearest":[163],"Neighbors.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}