{"id":"https://openalex.org/W2900224841","doi":"https://doi.org/10.1109/icves.2018.8519494","title":"Motion Pattern Recognition for Maneuver Detection and Trajectory Prediction on Highways","display_name":"Motion Pattern Recognition for Maneuver Detection and Trajectory Prediction on Highways","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2900224841","doi":"https://doi.org/10.1109/icves.2018.8519494","mag":"2900224841"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2018.8519494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2018.8519494","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/A5037457288","display_name":"David Augustin","orcid":"https://orcid.org/0000-0002-4885-1088"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Augustin","raw_affiliation_strings":["Opel Automobile GmbH, R\u00fcsselsheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Opel Automobile GmbH, R\u00fcsselsheim, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036130029","display_name":"M. Hofmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marius Hofmann","raw_affiliation_strings":["Opel Automobile GmbH, R\u00fcsselsheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Opel Automobile GmbH, R\u00fcsselsheim, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067269232","display_name":"Ulrich Konigorski","orcid":"https://orcid.org/0000-0003-4603-3310"},"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":"Ulrich Konigorski","raw_affiliation_strings":["Automatic Control and Mechatronics, Technische Universitat Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automatic Control and Mechatronics, Technische Universitat Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7507,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75796804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940999746322632,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8816092610359192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7380608916282654},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.626849889755249},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5733926296234131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5083474516868591},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44319066405296326},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4246132969856262},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3821846842765808},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33414226770401},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32291245460510254},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1381305754184723}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8816092610359192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7380608916282654},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.626849889755249},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5733926296234131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5083474516868591},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44319066405296326},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4246132969856262},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3821846842765808},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33414226770401},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32291245460510254},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1381305754184723},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icves.2018.8519494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2018.8519494","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:tubiblio.ulb.tu-darmstadt.de:115862","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/115862/","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323803","display_name":"Bundesministerium f\u00fcr Wirtschaft und Energie","ror":"https://ror.org/02vgg2808"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1565377632","https://openalex.org/W1595091933","https://openalex.org/W2055556996","https://openalex.org/W2090396718","https://openalex.org/W2097545165","https://openalex.org/W2163415743","https://openalex.org/W2170059033","https://openalex.org/W2238582461","https://openalex.org/W2343381408","https://openalex.org/W2343781317","https://openalex.org/W2953965357"],"related_works":["https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4323768008","https://openalex.org/W4248382324","https://openalex.org/W4360995134","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W3023605104","https://openalex.org/W2383578611","https://openalex.org/W2101105382"],"abstract_inverted_index":{"Intelligent":[0],"automated":[1,19],"driving":[2,20],"functions":[3],"require":[4],"a":[5,29,41,45,68],"deep":[6],"understanding":[7],"about":[8],"the":[9,48,59,63,131,140,144,151,154],"current":[10],"traffic":[11,26,145],"situation":[12],"and":[13,36,55,76,86,95,160],"its":[14,123],"likely":[15],"evolution.":[16],"For":[17,40],"highly":[18,56],"on":[21,58,84],"highways,":[22],"predicting":[23],"trajectories":[24,52,98],"of":[25,44,50,62,130,143,153],"participants":[27],"is":[28,53,134],"crucial":[30],"task":[31],"for":[32,73,99,107,120,139,157],"collision-free":[33],"trajectory":[34,78,116,162],"planning":[35],"risk-aware":[37],"maneuver":[38,60,74,108,158],"choice.":[39],"prediction":[42,79],"horizon":[43],"few":[46],"seconds":[47],"execution":[49],"those":[51],"fuzzy":[54],"dependent":[57],"choice":[61],"driver.":[64],"This":[65],"paper":[66],"presents":[67],"new":[69],"online-capable":[70],"statistical":[71],"approach":[72],"detection":[75,109,159],"uncertainty-aware":[77],"in":[80,91],"highway":[81,93],"scenarios":[82],"based":[83],"detecting":[85],"clustering":[87],"typical":[88],"motion":[89,142],"patterns":[90],"real":[92],"footage":[94],"deriving":[96],"prototypical":[97],"each":[100,121],"cluster.":[101],"The":[102,127],"cluster":[103],"prototypes":[104],"are":[105],"utilized":[106],"by":[110],"evaluating":[111],"their":[112],"proximities":[113],"to":[114],"incomplete":[115],"records":[117],"while":[118],"identifying":[119],"prototype":[122],"most":[124],"similar":[125],"section.":[126],"remaining":[128],"segment":[129],"best":[132],"fit":[133],"used":[135],"as":[136],"an":[137],"estimate":[138],"future":[141],"participant.":[146],"Quantitative":[147],"evaluation":[148],"results":[149],"demonstrate":[150],"potential":[152],"proposed":[155],"concept":[156],"maneuver-based":[161],"prediction.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"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"}
