{"id":"https://openalex.org/W2899798728","doi":"https://doi.org/10.1109/icves.2018.8519520","title":"Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance","display_name":"Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2899798728","doi":"https://doi.org/10.1109/icves.2018.8519520","mag":"2899798728"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2018.8519520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2018.8519520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","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/A5073446958","display_name":"Katharina Gillmeier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katharina Gillmeier","raw_affiliation_strings":["Dr. Ing. h.c. F. Porsche AG Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dr. Ing. h.c. F. Porsche AG Stuttgart, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012593902","display_name":"Tobias Schuettke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tobias Schuettke","raw_affiliation_strings":["Dr. Ing. h.c. F. Porsche AG Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dr. Ing. h.c. F. Porsche AG Stuttgart, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065967898","display_name":"Frederik Diederichs","orcid":"https://orcid.org/0000-0002-8600-6176"},"institutions":[{"id":"https://openalex.org/I3020504353","display_name":"Fraunhofer Institute for Industrial Engineering","ror":"https://ror.org/01nh64743","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3020504353","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frederik Diederichs","raw_affiliation_strings":["Ergonomics and Vehicle Interaction, Fraunhofer Institute IAO Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ergonomics and Vehicle Interaction, Fraunhofer Institute IAO Stuttgart, Germany","institution_ids":["https://openalex.org/I3020504353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033129351","display_name":"Gloriya Miteva","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gloriya Miteva","raw_affiliation_strings":["Dr. Ing. h.c. F. Porsche AG Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dr. Ing. h.c. F. Porsche AG Stuttgart, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064040604","display_name":"Dieter Sp\u00e4th","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dieter Spath","raw_affiliation_strings":["Institute of Human Factors and Technology Management (IAT) University of Stuttgart Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Human Factors and Technology Management (IAT) University of Stuttgart Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4113,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83476167,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9998000264167786,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/distraction","display_name":"Distraction","score":0.9091753363609314},{"id":"https://openalex.org/keywords/brake","display_name":"Brake","score":0.702198326587677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066188216209412},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.49591025710105896},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.47204598784446716},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.43850433826446533},{"id":"https://openalex.org/keywords/distracted-driving","display_name":"Distracted driving","score":0.43169695138931274},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4274340569972992},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.417039155960083},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.41071751713752747},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.3601132035255432},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.31659001111984253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29172754287719727},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2640645503997803},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18234574794769287},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.1702791154384613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.126611590385437}],"concepts":[{"id":"https://openalex.org/C2776378700","wikidata":"https://www.wikidata.org/wiki/Q3030775","display_name":"Distraction","level":2,"score":0.9091753363609314},{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.702198326587677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066188216209412},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.49591025710105896},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.47204598784446716},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.43850433826446533},{"id":"https://openalex.org/C2776465824","wikidata":"https://www.wikidata.org/wiki/Q5283083","display_name":"Distracted driving","level":3,"score":0.43169695138931274},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4274340569972992},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.417039155960083},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.41071751713752747},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.3601132035255432},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31659001111984253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29172754287719727},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2640645503997803},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18234574794769287},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.1702791154384613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.126611590385437},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icves.2018.8519520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2018.8519520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-525561","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-525561.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IAO","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/402931","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/402931","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W613464936","https://openalex.org/W1528532260","https://openalex.org/W1593024492","https://openalex.org/W1921630466","https://openalex.org/W1944345269","https://openalex.org/W1989962196","https://openalex.org/W1992356878","https://openalex.org/W2145275724","https://openalex.org/W2164617893","https://openalex.org/W2247641375","https://openalex.org/W2278275587","https://openalex.org/W2467468237","https://openalex.org/W2476780188","https://openalex.org/W2604607355","https://openalex.org/W2631809900","https://openalex.org/W2778638078","https://openalex.org/W2791741838","https://openalex.org/W2902159396","https://openalex.org/W2954615671","https://openalex.org/W4231331086","https://openalex.org/W6618982585","https://openalex.org/W6631558304","https://openalex.org/W6640811684","https://openalex.org/W6691014712","https://openalex.org/W6695107803","https://openalex.org/W6719826777","https://openalex.org/W6756384995","https://openalex.org/W7047202372"],"related_works":["https://openalex.org/W626594146","https://openalex.org/W2051187670","https://openalex.org/W2891960815","https://openalex.org/W2946368029","https://openalex.org/W564318436","https://openalex.org/W2058597075","https://openalex.org/W2083853826","https://openalex.org/W2143855856","https://openalex.org/W2029007596","https://openalex.org/W4383901024"],"abstract_inverted_index":{"Driver":[0,210],"intention":[1,22,28,77,174,201,218],"detection":[2,29,212],"holds":[3],"high":[4],"potential":[5],"for":[6,74,94,110,116,173],"adaptive":[7],"driver":[8,19,63,76,217],"assistance":[9],"systems":[10],"and":[11,21,41,47,53,83,86,103,119,131,202,231],"automated":[12,232],"driving":[13,33],"functions.":[14],"To":[15],"develop":[16],"a":[17,31,66,69,199],"combined":[18],"distraction":[20,51,133,166,183,211],"model":[23],"as":[24,26,176],"well":[25],"an":[27],"algorithm":[30,117],"real":[32],"study":[34],"with":[35,122],"45":[36],"subjects":[37],"performing":[38],"1260":[39],"braking":[40,156],"1890":[42],"evasion":[43,135],"maneuvers":[44,136,157],"was":[45,78],"conducted":[46],"analyzed.":[48],"The":[49,80,164],"driver`s":[50,165],"level":[52,167],"hand":[54],"position":[55],"are":[56,107],"varied":[57],"to":[58,90,146,170,189,215],"analyze":[59],"their":[60,132,182],"influence":[61],"on":[62],"intention.":[64],"With":[65],"probabilistic":[67],"approach,":[68],"sensitivity":[70],"analysis":[71],"of":[72,153,161,179],"indicators":[73],"detecting":[75],"developed.":[79],"accelerator":[81,105],"pedal":[82,106],"the":[84,97,100,104,129,148,191,207,216],"longitudinal":[85,98],"lateral":[87],"accelerations":[88],"reveal":[89],"be":[91,138,171,203],"most":[92,108],"sensitive":[93,109],"evasion,":[95],"while":[96],"acceleration,":[99],"brake":[101],"pressure":[102],"braking.":[111],"By":[112],"using":[113],"this":[114],"sensitivities":[115],"design":[118],"combining":[120],"them":[121],"information":[123],"about":[124],"whether":[125],"drivers":[126,180,196],"have":[127,198],"recognized":[128],"object":[130,149],"level,":[134],"can":[137],"detected":[139],"correctly":[140],"at":[141,184,206],"least":[142,185],"three":[143,186,221],"seconds":[144,187,222],"prior":[145,188],"passing":[147,190],"in":[150,158],"91":[151],"%":[152,160,178],"all":[154,162],"cases,":[155],"87":[159,177],"cases.":[163],"turned":[168],"out":[169],"relevant":[172,200],"recognition,":[175],"reduce":[181],"object.":[192],"We":[193],"conclude":[194],"that":[195],"cannot":[197],"highly":[204],"distracted":[205],"same":[208],"time.":[209],"hence":[213],"contributes":[214],"recognition.":[219],"A":[220],"prediction":[223],"frame":[224],"allow":[225],"effective":[226],"risk":[227],"mitigation":[228],"by":[229],"warning":[230],"interventions.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}