{"id":"https://openalex.org/W2896554943","doi":"https://doi.org/10.1109/ivs.2018.8500717","title":"Prediction of human driver behaviors based on an improved HMM approach","display_name":"Prediction of human driver behaviors based on an improved HMM approach","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2896554943","doi":"https://doi.org/10.1109/ivs.2018.8500717","mag":"2896554943"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2018.8500717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"article","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/A5069737145","display_name":"Qi Deng","orcid":"https://orcid.org/0000-0001-8873-5324"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Qi Deng","raw_affiliation_strings":["Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101737716","display_name":"Jiao Wang","orcid":"https://orcid.org/0000-0002-1707-4589"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jiao Wang","raw_affiliation_strings":["Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113663613","display_name":"Dirk S\u00f6ffker","orcid":null},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Soffker","raw_affiliation_strings":["Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Dynamics and Control, University of Duisburg-Essen, Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069737145"],"corresponding_institution_ids":["https://openalex.org/I62318514"],"apc_list":null,"apc_paid":null,"fwci":1.7733,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.85853977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2066","last_page":"2071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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":0.9995999932289124,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.9257125854492188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6859031915664673},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5936069488525391},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.5577771067619324},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5324130058288574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5018184185028076},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4840478301048279},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4748970568180084},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4684797525405884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4111034870147705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3913459777832031},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17682340741157532}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.9257125854492188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859031915664673},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5936069488525391},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5577771067619324},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5324130058288574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5018184185028076},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4840478301048279},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4748970568180084},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4684797525405884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4111034870147705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3913459777832031},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17682340741157532},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivs.2018.8500717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:bibliographie.ub.uni-due.de:ubo_mods_00119894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/IVS.2018.8500717","pdf_url":null,"source":{"id":"https://openalex.org/S7407055102","display_name":"Universit\u00e4tsbibliographie, Universit\u00e4t Duisburg-Essen","issn_l":null,"issn":null,"is_oa":false,"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":null,"raw_type":"Buchaufsatz/Kapitel"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1652644688","https://openalex.org/W1980399291","https://openalex.org/W1985690171","https://openalex.org/W2002832606","https://openalex.org/W2022189869","https://openalex.org/W2054161738","https://openalex.org/W2060797806","https://openalex.org/W2061701011","https://openalex.org/W2111284386","https://openalex.org/W2114516948","https://openalex.org/W2125838338","https://openalex.org/W2126105956","https://openalex.org/W2247660117","https://openalex.org/W2525884872","https://openalex.org/W4249000568","https://openalex.org/W6602002561","https://openalex.org/W6651226851"],"related_works":["https://openalex.org/W1584123598","https://openalex.org/W2731305060","https://openalex.org/W1983393909","https://openalex.org/W3121346907","https://openalex.org/W2040150569","https://openalex.org/W4379535633","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"Research":[0],"and":[1,49,129,171,213,215],"development":[2,13],"of":[3,14,88,99,122,138,168,179,205,226],"predicting":[4,37],"driving":[5,39,43,74,191,195,227],"behaviors":[6,75,192,228],"play":[7],"an":[8,26,175],"important":[9],"role":[10],"in":[11,90,166,216,239],"the":[12,58,64,71,80,91,96,100,108,120,136,146,154,180,202,206,210,217,220],"Advanced":[15],"Driver":[16],"Assistance":[17],"Systems":[18],"(ADAS)":[19],"for":[20,36,57,86],"assisting":[21],"drivers.":[22],"In":[23,117,160],"this":[24,118,240],"contribution,":[25],"approach":[27,66,133],"is":[28,67,104,143],"developed":[29],"based":[30],"on":[31,61,135],"Hidden":[32],"Markov":[33],"Model":[34],"(HMM)":[35],"human":[38,190],"behaviors.":[40],"Three":[41],"different":[42],"maneuvers":[44],"including":[45],"left/right":[46],"lane":[47,50],"change":[48],"keeping":[51],"are":[52,83],"modeled":[53],"as":[54,145],"hidden":[55],"states":[56],"HMM.":[59],"Based":[60],"observations":[62],"(training),":[63],"HMM":[65,89],"able":[68],"to":[69,106,157],"calculate":[70],"most":[72],"possible":[73],"using":[76],"observed":[77,81,112],"sequences.":[78],"Furthermore,":[79],"sequences":[82,113],"also":[84],"used":[85],"training":[87],"modeling":[92],"process.":[93],"To":[94],"improve":[95],"prediction":[97,229],"performance":[98],"model,":[101],"a":[102,123,150],"prefilter":[103,125,152,181,207],"proposed":[105],"quantize":[107],"collected":[109],"signals":[110],"into":[111],"with":[114,162,236],"specific":[115],"features.":[116],"contribution":[119],"definition":[121,137,204],"suitable":[124],"will":[126],"be":[127,183,199],"discussed":[128],"finally":[130],"optimized.":[131],"The":[132,224],"focuses":[134],"optimal":[139,147,176,203],"prefilters.":[140],"Here":[141],"optimality":[142],"defined":[144],"segments":[148],"describing":[149],"quantized":[151,158],"mapping":[153],"vehicle's":[155],"environment":[156],"states.":[159],"combination":[161],"related":[163],"HMM-based":[164],"results":[165],"terms":[167],"accuracy,":[169,214],"detection,":[170],"false":[172,221],"alarm":[173,222],"rates":[174],"parameter":[177],"set":[178],"can":[182,198,208],"determined.":[184],"Using":[185],"experimental":[186],"data":[187],"from":[188,194],"real":[189],"(taken":[193],"simulator)":[196],"it":[197],"concluded":[200],"that":[201],"increase":[209],"detection":[211],"rate":[212],"meanwhile":[218],"decrease":[219],"rate.":[223],"effectiveness":[225],"has":[230],"been":[231],"successfully":[232],"proved":[233],"by":[234],"comparison":[235],"other":[237],"methods":[238],"contribution.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-02T08:37:19.008085","created_date":"2025-10-10T00:00:00"}