{"id":"https://openalex.org/W2265056517","doi":"https://doi.org/10.1186/s13640-016-0106-9","title":"Driver aggressiveness detection via multisensory data fusion","display_name":"Driver aggressiveness detection via multisensory data fusion","publication_year":2016,"publication_date":"2016-01-27","ids":{"openalex":"https://openalex.org/W2265056517","doi":"https://doi.org/10.1186/s13640-016-0106-9","mag":"2265056517"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-016-0106-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-016-0106-9","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-016-0106-9","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-016-0106-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048108579","display_name":"\u00d6m\u00fcrcan Kumtepe","orcid":"https://orcid.org/0000-0001-9408-0010"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Omurcan Kumtepe","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Dumlup\u0131nar Blv. No:1, Ankara, 06800, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-9408-0010","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Dumlup\u0131nar Blv. No:1, Ankara, 06800, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009437653","display_name":"G\u00f6zde Bozda\u011f\u0131 Akar","orcid":"https://orcid.org/0000-0002-4227-5606"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gozde Bozdagi Akar","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Dumlup\u0131nar Blv. No:1, Ankara, 06800, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Dumlup\u0131nar Blv. No:1, Ankara, 06800, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081381110","display_name":"Enes Y\u00fcnc\u00fc","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enes Yuncu","raw_affiliation_strings":["ISSD Electronics, METU Technopolis, Dumlup\u0131nar Blv. No:1, Ankara, 06800, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISSD Electronics, METU Technopolis, Dumlup\u0131nar Blv. No:1, Ankara, 06800, Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048108579"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":2.3031,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8886488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2016","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9993000030517578,"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":0.9993000030517578,"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/T10370","display_name":"Traffic and Road Safety","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9812999963760376,"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":0.6730542182922363},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6456843018531799},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5718242526054382},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5080838203430176},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4757551848888397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46856099367141724},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4576714038848877},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42673027515411377},{"id":"https://openalex.org/keywords/aggressive-driving","display_name":"Aggressive driving","score":0.4190117120742798},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4112217128276825},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.36085543036460876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3411375880241394},{"id":"https://openalex.org/keywords/injury-prevention","display_name":"Injury prevention","score":0.08589327335357666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730542182922363},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6456843018531799},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5718242526054382},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5080838203430176},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4757551848888397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46856099367141724},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4576714038848877},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42673027515411377},{"id":"https://openalex.org/C2778950892","wikidata":"https://www.wikidata.org/wiki/Q4692276","display_name":"Aggressive driving","level":4,"score":0.4190117120742798},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4112217128276825},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.36085543036460876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3411375880241394},{"id":"https://openalex.org/C190385971","wikidata":"https://www.wikidata.org/wiki/Q373494","display_name":"Injury prevention","level":3,"score":0.08589327335357666},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-016-0106-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-016-0106-9","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-016-0106-9","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/41110","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/41110","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"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":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1186/s13640-016-0106-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-016-0106-9","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13640-016-0106-9","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2265056517.pdf","grobid_xml":"https://content.openalex.org/works/W2265056517.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W170770739","https://openalex.org/W1213379166","https://openalex.org/W1516464925","https://openalex.org/W1964185174","https://openalex.org/W1968256263","https://openalex.org/W1980697611","https://openalex.org/W1992162333","https://openalex.org/W1994386838","https://openalex.org/W1997100885","https://openalex.org/W2005749985","https://openalex.org/W2013480952","https://openalex.org/W2018690964","https://openalex.org/W2024495812","https://openalex.org/W2032184077","https://openalex.org/W2040046539","https://openalex.org/W2040981994","https://openalex.org/W2054970201","https://openalex.org/W2057634636","https://openalex.org/W2060715725","https://openalex.org/W2073521500","https://openalex.org/W2073769893","https://openalex.org/W2080801496","https://openalex.org/W2081272479","https://openalex.org/W2090023516","https://openalex.org/W2102049273","https://openalex.org/W2117431273","https://openalex.org/W2119821739","https://openalex.org/W2133059825","https://openalex.org/W2133648827","https://openalex.org/W2138273245","https://openalex.org/W2145951052","https://openalex.org/W2157686828","https://openalex.org/W2163719278","https://openalex.org/W2164598857","https://openalex.org/W2168676097","https://openalex.org/W2294873883","https://openalex.org/W4210763009","https://openalex.org/W4230053567","https://openalex.org/W6600696212"],"related_works":["https://openalex.org/W2434181583","https://openalex.org/W2982642565","https://openalex.org/W4294225209","https://openalex.org/W3196098778","https://openalex.org/W2054185485","https://openalex.org/W3164111940","https://openalex.org/W2149433885","https://openalex.org/W2113421559","https://openalex.org/W4224245440","https://openalex.org/W3211250490"],"abstract_inverted_index":{"Detection":[0],"of":[1,10,18,40,49,84,185],"driver":[2,41,72],"aggressiveness":[3,42,73,166],"is":[4,66,79,106,129,156,171],"a":[5,15,63,137],"significant":[6],"method":[7,65,78],"in":[8,45,68,163],"terms":[9],"safe":[11],"driving.":[12],"Every":[13],"year,":[14],"vast":[16],"number":[17,48],"traffic":[19,28,50,175],"accidents":[20,29,51],"occur":[21],"due":[22],"to":[23,56,70,89,95,108,131,158],"aggressive":[24,101,181],"driving":[25,92,102,138,182],"behaviour.":[26,103],"These":[27,140],"cause":[30],"fatalities,":[31],"severe":[32],"disorders":[33],"and":[34,86,94,112,124,177],"huge":[35],"economical":[36],"cost.":[37],"Therefore,":[38],"detection":[39,183],"could":[43],"help":[44],"reducing":[46],"the":[47,82,98,160],"by":[52,145,150,173],"warning":[53],"related":[54,91],"authorities":[55],"take":[57],"necessary":[58],"precautions.":[59],"In":[60],"this":[61],"work,":[62],"novel":[64],"introduced":[67],"order":[69,164],"detect":[71,109],"on":[74,81],"vehicle.":[75],"The":[76,168],"proposed":[77,169],"based":[80],"fusion":[83],"visual":[85],"sensor":[87,116],"features":[88],"characterize":[90],"session":[93,99],"decide":[96],"whether":[97],"involves":[100],"Visual":[104],"information":[105,117,128],"used":[107,130],"road":[110],"lines":[111],"vehicle":[113,122],"images,":[114],"whereas":[115],"provides":[118],"data":[119,149],"such":[120],"as":[121],"speed":[123],"engine":[125],"speed.":[126],"Both":[127],"obtain":[132],"feature":[133,141,161],"vectors":[134,142,162],"which":[135],"represent":[136],"session.":[139],"are":[143],"obtained":[144],"modelling":[146],"time":[147],"series":[148],"Gaussian":[151],"distributions.":[152],"An":[153],"SVM":[154],"classifier":[155],"utilized":[157],"classify":[159],"for":[165],"decision.":[167],"system":[170],"tested":[172],"real":[174],"data,":[176],"it":[178],"achieved":[179],"an":[180],"rate":[184],"93.1":[186],"%.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}