{"id":"https://openalex.org/W2571773278","doi":"https://doi.org/10.1109/mits.2016.2620398","title":"Sensor Fusion Methodology for Vehicle Detection","display_name":"Sensor Fusion Methodology for Vehicle Detection","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2571773278","doi":"https://doi.org/10.1109/mits.2016.2620398","mag":"2571773278"},"language":"en","primary_location":{"id":"doi:10.1109/mits.2016.2620398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2016.2620398","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://e-archivo.uc3m.es/bitstreams/384b30ec-3d79-4d9a-8848-3c531e59d3f7/download","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 Lab, Universidad Carlos III de Madrid, Leaan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Lab, Universidad Carlos III de Madrid, Leaan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961834","display_name":"David Mart\u00edn","orcid":"https://orcid.org/0000-0003-3764-5083"},"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":"David Martin","raw_affiliation_strings":["Intelligent Systems Lab, Universidad Carlos III de Madrid, Leaan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Lab, Universidad Carlos III de Madrid, Leaan\u00e9s, Madrid, 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 Lab, Universidad Carlos III de Madrid, Leaan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Lab, Universidad Carlos III de Madrid, Leaan\u00e9s, Madrid, 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 Lab, Universidad Carlos III de Madrid, Leaan\u00e9s, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Lab, Universidad Carlos III de Madrid, Leaan\u00e9s, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081249956"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":8.5449,"has_fulltext":true,"cited_by_count":112,"citation_normalized_percentile":{"value":0.97747242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"9","issue":"1","first_page":"123","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9937999844551086,"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":0.9937999844551086,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/sensor-fusion","display_name":"Sensor fusion","score":0.8090887069702148},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6984130144119263},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.6365684866905212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.528417706489563},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5158026218414307},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.48897087574005127},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.486803263425827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4846811592578888},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.47417914867401123},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.46107128262519836},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.4520858824253082},{"id":"https://openalex.org/keywords/intelligent-sensor","display_name":"Intelligent sensor","score":0.4318200349807739},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4224371612071991},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4162144362926483},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.4106907248497009},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3442845344543457},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.20861834287643433},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.14489391446113586},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.13591957092285156}],"concepts":[{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.8090887069702148},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6984130144119263},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.6365684866905212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.528417706489563},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5158026218414307},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.48897087574005127},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.486803263425827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4846811592578888},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.47417914867401123},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.46107128262519836},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.4520858824253082},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.4318200349807739},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4224371612071991},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4162144362926483},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.4106907248497009},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3442845344543457},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.20861834287643433},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.14489391446113586},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.13591957092285156},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mits.2016.2620398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2016.2620398","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","raw_type":"journal-article"},{"id":"pmh:oai:e-archivo.uc3m.es:10016/33757","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/33757","pdf_url":"https://e-archivo.uc3m.es/bitstreams/384b30ec-3d79-4d9a-8848-3c531e59d3f7/download","source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"}],"best_oa_location":{"id":"pmh:oai:e-archivo.uc3m.es:10016/33757","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/33757","pdf_url":"https://e-archivo.uc3m.es/bitstreams/384b30ec-3d79-4d9a-8848-3c531e59d3f7/download","source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.46000000834465027,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2571773278.pdf","grobid_xml":"https://content.openalex.org/works/W2571773278.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1568122762","https://openalex.org/W1581788588","https://openalex.org/W1663421356","https://openalex.org/W1967659990","https://openalex.org/W1971807356","https://openalex.org/W1975318092","https://openalex.org/W1976480913","https://openalex.org/W2047151198","https://openalex.org/W2053782190","https://openalex.org/W2059989492","https://openalex.org/W2074602185","https://openalex.org/W2082725356","https://openalex.org/W2090890830","https://openalex.org/W2096608698","https://openalex.org/W2100242026","https://openalex.org/W2111810513","https://openalex.org/W2131689832","https://openalex.org/W2135586417","https://openalex.org/W2136823933","https://openalex.org/W2137043528","https://openalex.org/W2137176344","https://openalex.org/W2155482149","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2171772615","https://openalex.org/W2171925433","https://openalex.org/W2271448465","https://openalex.org/W3083767870","https://openalex.org/W6694217610"],"related_works":["https://openalex.org/W2126807813","https://openalex.org/W2051516969","https://openalex.org/W2045615376","https://openalex.org/W2242126349","https://openalex.org/W2166492906","https://openalex.org/W4315782950","https://openalex.org/W2773938984","https://openalex.org/W2965672371","https://openalex.org/W2390470627","https://openalex.org/W2571773278"],"abstract_inverted_index":{"A":[0],"novel":[1],"sensor":[2,22,105],"fusion":[3,35,106],"methodology":[4,107],"is":[5,63],"presented,":[6],"which":[7],"provides":[8],"intelligent":[9,59],"vehicles":[10],"with":[11],"augmented":[12],"environment":[13],"information":[14],"and":[15,23,50,58,81,84,92],"knowledge,":[16],"enabled":[17],"by":[18,33],"vision-based":[19],"system,":[20],"laser":[21,69],"global":[24],"positioning":[25],"system.":[26],"The":[27,61,97],"presented":[28],"approach":[29],"achieves":[30],"safer":[31],"roads":[32],"data":[34,85],"techniques,":[36],"especially":[37],"in":[38,46,108],"single-lane":[39],"carriage-ways":[40],"where":[41],"casualties":[42],"are":[43],"higher":[44],"than":[45],"other":[47],"road":[48],"classes,":[49],"focuses":[51],"on":[52,65],"the":[53,66,74,101,104],"interplay":[54],"between":[55],"vehicle":[56],"drivers":[57],"vehicles.":[60],"system":[62],"based":[64,78],"reliability":[67],"of":[68,76,103],"scanner":[70],"for":[71],"obstacle":[72],"detection,":[73],"use":[75],"camera":[77],"identification":[79],"techniques":[80],"advanced":[82],"tracking":[83],"association":[86],"algorithms":[87],"i.e.":[88],"Unscented":[89],"Kalman":[90],"Filter":[91],"Joint":[93],"Probabilistic":[94],"Data":[95],"Association.":[96],"achieved":[98],"results":[99],"foster":[100],"implementation":[102],"forthcoming":[109],"Intelligent":[110],"Transportation":[111],"Systems.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":11}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2017-01-26T00:00:00"}
