{"id":"https://openalex.org/W2905067040","doi":"https://doi.org/10.1109/itsc.2018.8569655","title":"Multi-Hypothesis Multi-Model Driver's Gaze Target Tracking","display_name":"Multi-Hypothesis Multi-Model Driver's Gaze Target Tracking","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2905067040","doi":"https://doi.org/10.1109/itsc.2018.8569655","mag":"2905067040"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2018.8569655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","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/A5084447591","display_name":"Julian Schwehr","orcid":"https://orcid.org/0000-0001-6444-4813"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julian Schwehr","raw_affiliation_strings":["Control Methods and Robotics, TU Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Methods and Robotics, TU Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001777411","display_name":"Volker Willert","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Willert","raw_affiliation_strings":["Control Methods and Robotics, TU Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Methods and Robotics, TU Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7538,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73828561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2018","issue":null,"first_page":"1427","last_page":"1434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9909999966621399,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9894999861717224,"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":0.7836344242095947},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7073308229446411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6617333292961121},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.6152741312980652},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.5349624752998352},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5327582359313965},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.45896056294441223},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4428611993789673},{"id":"https://openalex.org/keywords/laptop","display_name":"Laptop","score":0.43129763007164},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2601829171180725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836344242095947},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7073308229446411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6617333292961121},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.6152741312980652},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.5349624752998352},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5327582359313965},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45896056294441223},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4428611993789673},{"id":"https://openalex.org/C2780008327","wikidata":"https://www.wikidata.org/wiki/Q3962","display_name":"Laptop","level":2,"score":0.43129763007164},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2601829171180725},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/itsc.2018.8569655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:109956","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/109956/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"},{"id":"mag:3037544667","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902235465136774","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323384","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1920813013","https://openalex.org/W1974162870","https://openalex.org/W2003107021","https://openalex.org/W2097886782","https://openalex.org/W2133133694","https://openalex.org/W2149382413","https://openalex.org/W2154045595","https://openalex.org/W2155971774","https://openalex.org/W2163579333","https://openalex.org/W2165065922","https://openalex.org/W2167020116","https://openalex.org/W2238582461","https://openalex.org/W2343781317","https://openalex.org/W2412927048","https://openalex.org/W2474210745","https://openalex.org/W2513177073","https://openalex.org/W2543690840","https://openalex.org/W2586648528","https://openalex.org/W2606810150","https://openalex.org/W2619326953","https://openalex.org/W2743544800","https://openalex.org/W2774427782","https://openalex.org/W2897485649","https://openalex.org/W4231680865"],"related_works":["https://openalex.org/W2137853536","https://openalex.org/W1585873145","https://openalex.org/W2081985824","https://openalex.org/W1195109582","https://openalex.org/W2108946558","https://openalex.org/W2807663718","https://openalex.org/W2167803927","https://openalex.org/W2146183910","https://openalex.org/W2024187606","https://openalex.org/W2907075052"],"abstract_inverted_index":{"For":[0],"a":[1,17,36,40,120,136],"safe":[2],"handover":[3],"of":[4,20,31,79,153],"the":[5,12,28,71,88,95,103,106,113,140,147,154,164,171],"driving":[6],"task":[7],"or":[8],"driver-adaptive":[9],"warning":[10],"strategies":[11],"driver's":[13,29,172],"situation":[14],"awareness":[15],"is":[16,142,157],"helpful":[18],"source":[19],"information.":[21],"In":[22],"order":[23],"to":[24],"estimate":[25],"and":[26,55,75,85,99,126,135],"track":[27],"focus":[30],"attention":[32],"over":[33],"time":[34,118],"in":[35,48,70,87,108,116,143],"dynamic":[37,125],"automotive":[38],"scene,":[39],"Multi-Hypothesis":[41],"Multi-Model":[42],"probabilistic":[43],"tracking":[44,166],"framework":[45],"was":[46],"developed":[47],"which":[49],"we":[50,64],"postulate":[51],"consistency":[52],"between":[53],"machine":[54],"human":[56],"perception":[57],"during":[58],"gaze":[59,81,129],"fixations.":[60],"Within":[61],"this":[62],"framework,":[63],"explicitly":[65],"included":[66],"target":[67,96],"object":[68,133],"motion":[69,89],"spatial":[72],"transition":[73],"step":[74],"integrated":[76],"spatiotemporal":[77],"models":[78],"human-like":[80],"behavior":[82],"for":[83],"fixations":[84],"saccades":[86],"transition.":[90],"This":[91],"elaborate":[92],"design":[93],"makes":[94,112],"estimation":[97],"robust":[98],"yet":[100],"flexible.":[101],"At":[102],"same":[104],"time,":[105],"representation":[107],"continuous":[109],"2D":[110],"coordinates":[111],"algorithm":[114,141],"run":[115],"real":[117,160],"on":[119,159,178],"standard":[121],"laptop.":[122],"By":[123],"incorporating":[124],"static":[127],"potential":[128],"targets":[130],"from":[131,146],"an":[132,179],"list":[134],"free":[137],"space":[138],"spline,":[139],"principle":[144],"independent":[145],"applied":[148],"sensor":[149],"setup.":[150],"The":[151],"benefit":[152],"proposed":[155],"model":[156],"presented":[158,176],"world":[161],"data":[162],"where":[163],"filter's":[165],"performance":[167],"as":[168,170],"well":[169],"visual":[173],"sampling":[174],"are":[175],"based":[177],"exemplary":[180],"scene.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
