{"id":"https://openalex.org/W4409760990","doi":"https://doi.org/10.1109/tits.2025.3560182","title":"Interpretable Multi-Task Prediction Neural Network for Autonomous Vehicles","display_name":"Interpretable Multi-Task Prediction Neural Network for Autonomous Vehicles","publication_year":2025,"publication_date":"2025-04-24","ids":{"openalex":"https://openalex.org/W4409760990","doi":"https://doi.org/10.1109/tits.2025.3560182"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3560182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3560182","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5016337133","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0001-8260-3574"},"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":true,"raw_author_name":"Qi Wang","raw_affiliation_strings":["State Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078723950","display_name":"Hongyu Hu","orcid":"https://orcid.org/0000-0001-8083-6403"},"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":"Hongyu Hu","raw_affiliation_strings":["State Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036995131","display_name":"Biao Yang","orcid":"https://orcid.org/0000-0002-4434-0141"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Yang","raw_affiliation_strings":["School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics and Control Engineering, Changzhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001427165","display_name":"Linwei Song","orcid":"https://orcid.org/0009-0004-2784-936X"},"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":"Linwei Song","raw_affiliation_strings":["State Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072073374","display_name":"Chen Lv","orcid":"https://orcid.org/0000-0001-6897-4512"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chen Lv","raw_affiliation_strings":["School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore","School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016337133"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06689958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"6","first_page":"7554","last_page":"7572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9429000020027161,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9429000020027161,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9117000102996826,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6437989473342896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978475213050842},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5608016848564148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5540081858634949},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3876127004623413},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2754480242729187},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.10878276824951172}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6437989473342896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978475213050842},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5608016848564148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5540081858634949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3876127004623413},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2754480242729187},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.10878276824951172}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3560182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3560182","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3278008792","display_name":null,"funder_award_id":"20210214","funder_id":"https://openalex.org/F4320326884","funder_display_name":"State Key Laboratory of Automotive Simulation and Control"},{"id":"https://openalex.org/G4475271718","display_name":null,"funder_award_id":"52272417","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/F4320326884","display_name":"State Key Laboratory of Automotive Simulation and Control","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2096137433","https://openalex.org/W2885138528","https://openalex.org/W2896642734","https://openalex.org/W2913340405","https://openalex.org/W2922458387","https://openalex.org/W2945879625","https://openalex.org/W2963430933","https://openalex.org/W2963677766","https://openalex.org/W2963854351","https://openalex.org/W2963877604","https://openalex.org/W2963906196","https://openalex.org/W3013376041","https://openalex.org/W3034782805","https://openalex.org/W3037376004","https://openalex.org/W3047375952","https://openalex.org/W3085046840","https://openalex.org/W3108486966","https://openalex.org/W3128395826","https://openalex.org/W3141797743","https://openalex.org/W3153872914","https://openalex.org/W3163193324","https://openalex.org/W3177645420","https://openalex.org/W3194668998","https://openalex.org/W3200533894","https://openalex.org/W3206458928","https://openalex.org/W3210065386","https://openalex.org/W3213373486","https://openalex.org/W4200094847","https://openalex.org/W4292492380","https://openalex.org/W4293462502","https://openalex.org/W4312511187","https://openalex.org/W4312610737","https://openalex.org/W4312836739","https://openalex.org/W4327662239","https://openalex.org/W4365459053","https://openalex.org/W4383503846","https://openalex.org/W4386071503","https://openalex.org/W4400645455","https://openalex.org/W4405362916","https://openalex.org/W6755521650","https://openalex.org/W6772015689","https://openalex.org/W6783566936","https://openalex.org/W6801880476","https://openalex.org/W6802820957"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Owing":[0],"to":[1,31,132,138,179],"the":[2,32,48,61,71,107,114,119,127,153,181],"shortage":[3],"of":[4,27,34],"computing":[5],"resources":[6],"for":[7,84],"autonomous":[8,28],"vehicles":[9,29],"and":[10,37,59,134,144,176],"redundant":[11],"modeling":[12],"among":[13],"similar":[14],"tasks,":[15],"multi-task":[16,24,42,49,85],"models":[17],"have":[18],"become":[19],"a":[20,41,67,77,99,103],"feasible":[21],"solution.":[22],"The":[23,90],"prediction":[25,50,86,158],"model":[26,80,155],"refers":[30],"realization":[33],"trajectory,":[35],"behavior,":[36],"risk":[38],"predictions":[39],"through":[40],"deep":[43],"neural":[44,87],"network.":[45],"However,":[46],"whether":[47,60],"networks":[51],"can":[52],"effectively":[53],"share":[54],"information":[55,111,120,128],"between":[56],"multiple":[57],"inputs":[58],"shared":[62],"representations":[63],"are":[64],"interpretable":[65],"remains":[66],"concern.":[68],"To":[69],"address":[70],"aforementioned":[72],"concerns,":[73],"this":[74,94,123],"study":[75,124],"proposes":[76],"multi-source":[78],"multi-dimensional":[79],"interpretation":[81,141],"(M3-interpretation)":[82],"method":[83,131],"network":[88],"(MPNN).":[89],"MPNN":[91],"proposed":[92,154],"in":[93,173,187],"paper":[95],"is":[96],"designed":[97],"with":[98],"structure":[100],"that":[101,152,183],"emphasizes":[102],"\u201ctask-specific":[104],"pipeline":[105],"as":[106,113],"main,":[108],"high-level":[109],"semantic":[110],"sharing":[112],"supplement\u201d.":[115],"Then,":[116],"based":[117],"on":[118,170],"entropy":[121],"theory,":[122],"creatively":[125],"extends":[126],"bottleneck":[129],"attribution":[130,166],"M3":[133],"uses":[135],"feature":[136,177],"masks":[137],"display":[139],"fine-grained":[140,165],"results.":[142],"Comparison":[143],"ablation":[145],"experiments":[146],"using":[147],"naturalistic":[148],"trajectory":[149],"datasets":[150],"indicated":[151],"has":[156],"better":[157],"performance":[159],"than":[160],"single-task":[161],"models.":[162],"In":[163],"addition,":[164],"analysis":[167],"was":[168],"conducted":[169],"specific":[171],"behaviors":[172],"temporal,":[174],"spatial,":[175],"dimensions":[178],"explore":[180],"laws":[182],"affect":[184],"behavioral":[185],"inference":[186],"MPNN.":[188]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
