{"id":"https://openalex.org/W3119613865","doi":"https://doi.org/10.1109/iv47402.2020.9304753","title":"Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model","display_name":"Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3119613865","doi":"https://doi.org/10.1109/iv47402.2020.9304753","mag":"3119613865"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100386972","display_name":"Jinxin Liu","orcid":"https://orcid.org/0000-0001-7217-3611"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxin Liu","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021568693","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6556-2299"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042865025","display_name":"Heye Huang","orcid":"https://orcid.org/0000-0002-8964-8764"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heye Huang","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102846293","display_name":"Yugong Luo","orcid":"https://orcid.org/0009-0003-5198-7028"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugong Luo","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101987780","display_name":"Zhihua Zhong","orcid":"https://orcid.org/0009-0003-6530-9930"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Zhong","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031855986","display_name":"Keqiang Li","orcid":"https://orcid.org/0000-0002-9333-7416"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqiang Li","raw_affiliation_strings":["State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"992","last_page":"998"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9975000023841858,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.984499990940094,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7952882051467896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7736821174621582},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7299566864967346},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6384992003440857},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6195429563522339},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6011703610420227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5123544931411743},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49662405252456665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4600970149040222},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4218292832374573},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.41998082399368286},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.35722410678863525},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35612714290618896}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7952882051467896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736821174621582},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7299566864967346},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6384992003440857},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6195429563522339},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6011703610420227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5123544931411743},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49662405252456665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4600970149040222},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4218292832374573},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.41998082399368286},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.35722410678863525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35612714290618896},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G6732002363","display_name":null,"funder_award_id":"2016YFB0100905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W42528138","https://openalex.org/W368469426","https://openalex.org/W1520813427","https://openalex.org/W1663973292","https://openalex.org/W1933023033","https://openalex.org/W1934021597","https://openalex.org/W2061318694","https://openalex.org/W2097545165","https://openalex.org/W2110575115","https://openalex.org/W2125838338","https://openalex.org/W2134743666","https://openalex.org/W2149361029","https://openalex.org/W2169432920","https://openalex.org/W2282877195","https://openalex.org/W2343781317","https://openalex.org/W2567297805","https://openalex.org/W2594639291","https://openalex.org/W2612150182","https://openalex.org/W2774231091","https://openalex.org/W2792239816","https://openalex.org/W2792239926","https://openalex.org/W2896642734","https://openalex.org/W2964193755","https://openalex.org/W2969811230","https://openalex.org/W2990993481","https://openalex.org/W2996569527","https://openalex.org/W4211049957","https://openalex.org/W6631209646","https://openalex.org/W6640231202","https://openalex.org/W6684684212"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W2002739602","https://openalex.org/W1968042686","https://openalex.org/W2897881820","https://openalex.org/W2345647014","https://openalex.org/W2201192772","https://openalex.org/W3136891595","https://openalex.org/W1964286703","https://openalex.org/W2169866437","https://openalex.org/W1964819397"],"abstract_inverted_index":{"Making":[0],"long-term":[1],"trajectory":[2],"prediction":[3,29,79,121,135],"accurately":[4],"for":[5,12],"surrounding":[6],"vehicles":[7,14],"is":[8],"the":[9,33,45,69,72,89,109,133],"crucial":[10],"prerequisite":[11],"intelligent":[13],"to":[15,26,76,99],"accomplish":[16],"superb":[17],"decision":[18],"making":[19],"and":[20,35,51,120],"motion":[21,66],"planning.":[22],"In":[23],"this":[24],"paper,":[25],"achieve":[27],"high-quality":[28],"accuracy":[30],"both":[31],"in":[32,94,130],"short":[34],"long":[36],"term,":[37],"we":[38],"propose":[39],"an":[40],"integrated":[41],"probabilistic":[42],"framework":[43],"with":[44,81,105,117],"combination":[46],"of":[47,111,132],"driver":[48],"awareness":[49],"model":[50,57,75],"Gaussian":[52],"process":[53],"model.":[54],"The":[55],"former":[56],"can":[58],"obtain":[59],"high-level":[60],"semantic":[61],"information":[62],"using":[63],"low-level":[64],"two-dimensional":[65],"elements.":[67],"And":[68],"latter":[70],"incorporates":[71],"vehicle":[73],"physical":[74],"reach":[77],"good":[78],"performance":[80],"strengthened":[82],"historical":[83],"input":[84],"sequence.":[85],"Furthermore,":[86],"experiments":[87],"on":[88],"public":[90],"naturalistic":[91],"driving":[92],"dataset":[93],"lane-changing":[95],"scenarios":[96],"are":[97,115],"conducted":[98],"verify":[100],"our":[101,112],"novel":[102],"approach.":[103],"Compared":[104],"another":[106],"advanced":[107],"method,":[108],"superiorities":[110],"proposed":[113],"approach":[114],"demonstrated":[116],"higher":[118],"estimation":[119],"accuracy,":[122],"as":[123,125],"well":[124],"more":[126],"reasonable":[127],"uncertainty":[128],"description":[129],"terms":[131],"whole":[134],"process.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}