{"id":"https://openalex.org/W2989681361","doi":"https://doi.org/10.1109/itsc.2019.8917526","title":"Ontology-based Reasoning Approach for Long-term Behavior Prediction of Road Users","display_name":"Ontology-based Reasoning Approach for Long-term Behavior Prediction of Road Users","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2989681361","doi":"https://doi.org/10.1109/itsc.2019.8917526","mag":"2989681361"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (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/A5100386895","display_name":"Fang Fang","orcid":"https://orcid.org/0000-0003-3784-3696"},"institutions":[{"id":"https://openalex.org/I4210110524","display_name":"Nissan (Japan)","ror":"https://ror.org/01nks1c62","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110524"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Fang Fang","raw_affiliation_strings":["Nissan Motor Co. Ltd., Atsugi, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Nissan Motor Co. Ltd., Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210110524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101000622","display_name":"Shotaro Yamaguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110524","display_name":"Nissan (Japan)","ror":"https://ror.org/01nks1c62","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110524"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shotaro Yamaguchi","raw_affiliation_strings":["Nissan Motor Co. Ltd., Atsugi, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Nissan Motor Co. Ltd., Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210110524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112048439","display_name":"Abdelaziz Khiat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110524","display_name":"Nissan (Japan)","ror":"https://ror.org/01nks1c62","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110524"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Abdelaziz Khiat","raw_affiliation_strings":["Nissan Motor Co. Ltd., Atsugi, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Nissan Motor Co. Ltd., Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210110524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100386895"],"corresponding_institution_ids":["https://openalex.org/I4210110524"],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7862362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9959999918937683,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9872000217437744,"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/T11106","display_name":"Data Management and Algorithms","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7930116057395935},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7401176691055298},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.6316011548042297},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5594595074653625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5334506034851074},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4827794134616852},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47629180550575256},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4517787992954254},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.42665284872055054},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.41349706053733826},{"id":"https://openalex.org/keywords/human-behavior","display_name":"Human behavior","score":0.411271333694458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930116057395935},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7401176691055298},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6316011548042297},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5594595074653625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5334506034851074},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4827794134616852},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47629180550575256},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4517787992954254},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.42665284872055054},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.41349706053733826},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.411271333694458},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8917526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1895727713","https://openalex.org/W1902415380","https://openalex.org/W1977970897","https://openalex.org/W2091281530","https://openalex.org/W2100469802","https://openalex.org/W2101125181","https://openalex.org/W2105242877","https://openalex.org/W2139391802","https://openalex.org/W2141808590","https://openalex.org/W2612150182"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2053269318","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340","https://openalex.org/W2358227972"],"abstract_inverted_index":{"A":[0],"human":[1,34],"driver":[2],"determines":[3],"his/her":[4],"driving":[5,35,101],"action":[6],"by":[7],"predicting":[8],"future":[9],"behavior":[10,46,85,111],"of":[11,19,47,112,141,198],"other":[12,48,67,113],"road":[13,49,114,143],"users":[14,115,144],"based":[15,119],"on":[16,120,183],"the":[17,42,66,83,87,150,180,184,192],"consideration":[18],"relative":[20],"relationships":[21],"and":[22,44,89,148],"reactions":[23],"between":[24],"all":[25,142],"players.":[26,128],"To":[27],"get":[28],"as":[29,31,170,205],"close":[30],"possible":[32],"to":[33,40,86,97,174],"behavior,":[36],"it":[37,171],"is":[38,95,164],"important":[39],"predict":[41,82],"early":[43],"long-term":[45,72,110],"users.":[50],"For":[51,129],"this":[52,130],"sake,":[53],"many":[54],"motion-based":[55],"methods":[56,70],"has":[57],"been":[58,75],"proposed,":[59],"although":[60],"only":[61,81],"for":[62,71],"short-term":[63],"prediction.":[64],"On":[65],"hand,":[68],"reasoning-based":[69],"prediction":[73],"have":[74],"proposed":[76,193],"recently.":[77],"However,":[78],"they":[79],"can":[80],"latest":[84],"observation":[88],"do":[90],"not":[91],"consider":[92],"uncertainty,":[93],"which":[94],"necessary":[96],"realize":[98],"smooth":[99],"autonomous":[100],"behavior.":[102],"Therefore,":[103],"we":[104,132],"propose":[105],"a":[106,138,167,196],"method":[107],"that":[108,123,136,191],"predicts":[109,195],"with":[116,145,153,166,201],"estimated":[117],"probabilities":[118,156,204],"semantic":[121],"reasoning":[122],"considers":[124],"interactions":[125],"among":[126],"various":[127],"purpose,":[131],"define":[133],"an":[134],"ontology":[135],"provides":[137],"conceptual":[139],"description":[140],"their":[146,154,202],"interactions,":[147],"infer":[149],"likely":[151],"behaviors":[152],"associated":[155,203],"using":[157],"Markov":[158],"Logic":[159],"Network":[160],"(MLN).":[161],"This":[162],"framework":[163],"used":[165],"actual":[168],"vehicle":[169],"approaches":[172],"intersections,":[173],"demonstrate":[175],"its":[176],"applicability.":[177],"Results":[178],"from":[179],"real-time":[181],"implementation":[182],"vehicle,":[185],"operating":[186],"under":[187],"controlled":[188],"conditions,":[189],"indicate":[190],"approach":[194],"sequence":[197],"behavioral":[199],"possibilities":[200],"expected.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
