{"id":"https://openalex.org/W4389891321","doi":"https://doi.org/10.1109/tase.2023.3342978","title":"Trajectory Prediction for Autonomous Driving Based on Structural Informer Method","display_name":"Trajectory Prediction for Autonomous Driving Based on Structural Informer Method","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4389891321","doi":"https://doi.org/10.1109/tase.2023.3342978"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2023.3342978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2023.3342978","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5028401989","display_name":"Chongpu Chen","orcid":"https://orcid.org/0000-0003-1012-8860"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chongpu Chen","raw_affiliation_strings":["School of Automotive Studies, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive Studies, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101419807","display_name":"Xinbo Chen","orcid":"https://orcid.org/0000-0002-8883-4637"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Chen","raw_affiliation_strings":["School of Automotive Studies, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive Studies, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039743074","display_name":"Chong Guo","orcid":"https://orcid.org/0000-0003-2068-908X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Guo","raw_affiliation_strings":["College of Automotive Engineering, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Automotive Engineering, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055911707","display_name":"Peng Hang","orcid":"https://orcid.org/0000-0002-5843-0594"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Hang","raw_affiliation_strings":["Department of Traffic Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Traffic Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028401989"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":2.5142,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89382258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"22","issue":null,"first_page":"17452","last_page":"17463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.998199999332428,"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":0.998199999332428,"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":0.9916999936103821,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9386000037193298,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7410823106765747},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6581579446792603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6251382231712341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5361708402633667},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5064197778701782},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.47496840357780457},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.46325501799583435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4179622232913971},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2707098424434662}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7410823106765747},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6581579446792603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251382231712341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5361708402633667},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5064197778701782},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.47496840357780457},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.46325501799583435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4179622232913971},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2707098424434662},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2023.3342978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2023.3342978","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1500936459","display_name":null,"funder_award_id":"2022YFB2502901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4963751842","display_name":null,"funder_award_id":"52275123","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1966312294","https://openalex.org/W2079150870","https://openalex.org/W2084246939","https://openalex.org/W2101545882","https://openalex.org/W2146404773","https://openalex.org/W2155295407","https://openalex.org/W2194775991","https://openalex.org/W2200971133","https://openalex.org/W2334470880","https://openalex.org/W2563487472","https://openalex.org/W2905301806","https://openalex.org/W2963914175","https://openalex.org/W2975767248","https://openalex.org/W2995010020","https://openalex.org/W3039205832","https://openalex.org/W3169575318","https://openalex.org/W3177318507","https://openalex.org/W3216774437","https://openalex.org/W4205342285","https://openalex.org/W4214895168","https://openalex.org/W4225754812","https://openalex.org/W4226051392","https://openalex.org/W4289812631","https://openalex.org/W4296079511","https://openalex.org/W4310983610","https://openalex.org/W4312731878","https://openalex.org/W4364322274","https://openalex.org/W4378833173","https://openalex.org/W4385245566","https://openalex.org/W4385331824","https://openalex.org/W4386471863","https://openalex.org/W6685562342","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4360995134","https://openalex.org/W4248382324","https://openalex.org/W3023605104","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W2383578611","https://openalex.org/W2101105382"],"abstract_inverted_index":{"Accurate":[0],"and":[1,62,78,96,119,125,134,144,150,162,212,224,244,259],"efficient":[2,79],"prediction":[3,40,82,126,167,228],"of":[4,8,12,41,83,99,108,168,183,191,194,201,226,251,273,279,288],"the":[5,39,84,88,94,100,106,113,128,147,151,155,169,189,198,217,252,271,289],"future":[6,192],"trajectories":[7,26,193],"surrounding":[9,195],"vehicles":[10,196],"is":[11,47,142,186,215,238,267],"utmost":[13],"importance":[14],"in":[15,165,276,283],"motion":[16,32,199],"planning":[17,200],"for":[18,30],"autonomous":[19,202],"driving.":[20],"The":[21,140,204,234,263,286],"ability":[22],"to":[23,38,49,57,179,187,239,246,269],"predict":[24],"longer-term":[25,52],"provides":[27],"valuable":[28,249],"information":[29],"effective":[31],"planning.":[33],"Numerous":[34],"studies":[35],"have":[36],"contributed":[37],"long-term":[42,80,166,284],"vehicle":[43,102,109,260],"trajectories.":[44],"However,":[45],"it":[46],"important":[48],"note":[50],"that":[51,154,216],"predictions":[53],"can":[54,75,220],"potentially":[55],"lead":[56],"a":[58,70],"trade-off":[59],"between":[60],"accuracy":[61,161,225],"computational":[63,117,277],"complexity.":[64],"In":[65],"this":[66,184],"work,":[67],"we":[68],"propose":[69],"structural":[71,157],"Informer":[72,158],"method,":[73],"which":[74],"achieve":[76,221],"accurate":[77],"trajectory":[81,227],"target":[85,253],"vehicle.":[86],"Specifically,":[87],"proposed":[89,156,206,218,291],"method":[90,141,205,237,290],"considers":[91],"not":[92],"only":[93],"temporal":[95],"spatial":[97],"features":[98,250,258],"interaction":[101],"trajectory,":[103],"but":[104],"also":[105],"impact":[107,190],"state":[110,261],"changes":[111],"on":[112,197,295],"trajectory.":[114],"To":[115],"reduce":[116],"redundancy":[118],"complexity":[120,278],"while":[121],"improving":[122],"memory":[123],"usage":[124],"accuracy,":[127],"<italic":[129,176],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[130,177],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">ProbSparse</i>":[131],"self-attention":[132],"mechanisms":[133,282],"attention":[135,265,281],"distillation":[136],"operations":[137],"are":[138],"employed.":[139],"validated":[143],"evaluated":[145],"using":[146],"NGSIM":[148],"dataset,":[149],"results":[152],"demonstrate":[153],"achieves":[159],"satisfactory":[160],"time":[163],"cost":[164],"TV":[170],"compared":[171,229],"with":[172,230],"state-of-the":[173,231],"art":[174,232],"methods":[175,243],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[178],"Practitioners</i>":[180],"\u2014The":[181],"motivation":[182],"research":[185],"address":[188],"vehicles.":[203],"applies":[207],"advanced":[208],"deep":[209],"learning":[210],"methods,":[211],"its":[213],"strongpoint":[214],"network":[219],"higher":[222],"efficiency":[223],"methods.":[233],"specific":[235],"implementation":[236],"use":[240],"structured":[241],"embedding":[242],"networks":[245],"extract":[247],"more":[248],"vehicle,":[254],"such":[255],"as":[256],"spatiotemporal":[257],"features.":[262],"novel":[264],"mechanism":[266],"designed":[268],"solve":[270],"problem":[272],"exponential":[274],"growth":[275],"traditional":[280],"prediction.":[285],"advancement":[287],"confirmed":[292],"by":[293],"verification":[294],"naturalistic":[296],"driving":[297],"dataset.":[298]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}