{"id":"https://openalex.org/W4288781489","doi":"https://doi.org/10.1109/tvt.2022.3194862","title":"A Multi-Level Movement Intention Inference Approach for an Urban Evasive Target With Unknowable Destinations","display_name":"A Multi-Level Movement Intention Inference Approach for an Urban Evasive Target With Unknowable Destinations","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4288781489","doi":"https://doi.org/10.1109/tvt.2022.3194862"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2022.3194862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3194862","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5101997595","display_name":"Yan Peng","orcid":"https://orcid.org/0000-0003-2928-8987"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yan","raw_affiliation_strings":["School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2928-8987","affiliations":[{"raw_affiliation_string":"School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101455523","display_name":"Jifeng Guo","orcid":"https://orcid.org/0000-0003-2840-9820"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifeng Guo","raw_affiliation_strings":["School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2840-9820","affiliations":[{"raw_affiliation_string":"School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073181963","display_name":"Chengchao Bai","orcid":"https://orcid.org/0000-0002-0349-9869"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengchao Bai","raw_affiliation_strings":["School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0000-0002-0349-9869","affiliations":[{"raw_affiliation_string":"School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0784,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35702345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"71","issue":"11","first_page":"11526","last_page":"11539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980000257492065,"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":0.9980000257492065,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9943000078201294,"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/inference","display_name":"Inference","score":0.8382917642593384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7076249122619629},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.6783385872840881},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6556596755981445},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6274862885475159},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5361558794975281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5300754308700562},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5218716859817505},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4484748840332031},{"id":"https://openalex.org/keywords/destinations","display_name":"Destinations","score":0.44643720984458923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42298033833503723},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32195988297462463},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1445828080177307}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8382917642593384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7076249122619629},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.6783385872840881},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6556596755981445},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6274862885475159},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5361558794975281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5300754308700562},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5218716859817505},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4484748840332031},{"id":"https://openalex.org/C2776687071","wikidata":"https://www.wikidata.org/wiki/Q5265193","display_name":"Destinations","level":3,"score":0.44643720984458923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42298033833503723},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32195988297462463},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1445828080177307},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2022.3194862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3194862","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4801621766","display_name":null,"funder_award_id":"61973101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W179875071","https://openalex.org/W1522301498","https://openalex.org/W1932847118","https://openalex.org/W1951211040","https://openalex.org/W1955948120","https://openalex.org/W1969483458","https://openalex.org/W1987616874","https://openalex.org/W2012849708","https://openalex.org/W2064675550","https://openalex.org/W2120615054","https://openalex.org/W2128060716","https://openalex.org/W2206835661","https://openalex.org/W2293023260","https://openalex.org/W2293634267","https://openalex.org/W2514193073","https://openalex.org/W2561515991","https://openalex.org/W2565986202","https://openalex.org/W2740072693","https://openalex.org/W2742011098","https://openalex.org/W2774716914","https://openalex.org/W2784881541","https://openalex.org/W2791814097","https://openalex.org/W2905513778","https://openalex.org/W2922458387","https://openalex.org/W2998573272","https://openalex.org/W3011722025","https://openalex.org/W3019688365","https://openalex.org/W3061973130","https://openalex.org/W3132875902","https://openalex.org/W3163257372","https://openalex.org/W3164270815","https://openalex.org/W3165672175","https://openalex.org/W3165863344","https://openalex.org/W3186360695","https://openalex.org/W3197793043","https://openalex.org/W3200048920","https://openalex.org/W3211047701","https://openalex.org/W4287373991","https://openalex.org/W4295312788","https://openalex.org/W6631190155","https://openalex.org/W6696884364","https://openalex.org/W6755864109","https://openalex.org/W6766978945","https://openalex.org/W6801470102"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3181746755","https://openalex.org/W2521062615","https://openalex.org/W3016958897","https://openalex.org/W4287776258","https://openalex.org/W3027997911","https://openalex.org/W3021430260","https://openalex.org/W2419002497","https://openalex.org/W2382078898"],"abstract_inverted_index":{"Movement":[0],"intention":[1,36,70,140,172],"inference":[2,37,141,173,207],"for":[3],"non-cooperative":[4,48],"evasive":[5,49],"targets":[6],"in":[7,51],"urban":[8,52,80,149],"environments":[9],"is":[10],"difficult":[11],"due":[12],"to":[13,39,55,78,103,133,157,192],"the":[14,21,43,58,63,67,79,83,86,89,94,105,110,116,130,148,153,159,186,189,195,199,210],"lack":[15],"of":[16,20,46,62,85,109,198],"a":[17,34,47,205],"priori":[18],"knowledge":[19],"possible":[22,59,117,196],"target's":[23,68,118,155,160,211],"movement":[24,44,60,69,107,119,161],"intentions":[25,45,61,108,120],"set.":[26],"To":[27],"solve":[28],"this":[29,31],"problem,":[30],"paper":[32],"proposes":[33],"multi-level":[35,171],"approach":[38],"construct":[40],"and":[41,82,152,177,182,203],"infer":[42,158,185],"target":[50,111,131,190,200],"environments.":[53],"Firstly,":[54],"reasonably":[56],"represent":[57,104],"target,":[64],"we":[65,92],"decompose":[66],"into":[71,99],"different":[72,101,106,124,127],"regions":[73,125],"at":[74,96,112,126],"multiple":[75],"levels":[76,128],"according":[77],"environment":[81,150],"location":[84],"target.":[87],"At":[88],"same":[90],"time,":[91],"divide":[93],"region":[95,187],"each":[97],"level":[98],"several":[100],"sub-regions":[102],"that":[113,168],"level.":[114],"Thus,":[115],"are":[121,143,201],"constructed":[122],"as":[123],"where":[129,188],"intends":[132,191],"go.":[134],"Secondly,":[135],"Convolutional":[136],"Neural":[137],"Network":[138],"(CNN)-based":[139],"models":[142,174],"developed,":[144],"which":[145],"can":[146,175],"fuse":[147],"information":[151],"observed":[154],"trajectory":[156],"intentions.":[162],"Extensive":[163],"simulation":[164],"experiments":[165],"results":[166],"show":[167],"our":[169],"proposed":[170],"accurately":[176],"timely":[178],"(with":[179],"79%":[180],"accuracy":[181],"84%":[183],"timeliness)":[184],"go":[193],"when":[194,209],"destinations":[197],"unknowable":[202],"maintain":[204],"robust":[206],"performance":[208],"behavior":[212],"changes.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
