{"id":"https://openalex.org/W4405488564","doi":"https://doi.org/10.1109/mits.2024.3509723","title":"FRUIT: Fast Road User Interactions Modeling With Latent Intention and Multimodal Trajectory for Autonomous Driving","display_name":"FRUIT: Fast Road User Interactions Modeling With Latent Intention and Multimodal Trajectory for Autonomous Driving","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4405488564","doi":"https://doi.org/10.1109/mits.2024.3509723"},"language":"en","primary_location":{"id":"doi:10.1109/mits.2024.3509723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2024.3509723","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","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/A5034327640","display_name":"Haoran Wu","orcid":"https://orcid.org/0000-0003-2873-4615"},"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":true,"raw_author_name":"Haoran Wu","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039051036","display_name":"Hao Cheng","orcid":"https://orcid.org/0000-0001-8650-2914"},"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":"Hao Cheng","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036282981","display_name":"Sifa Zheng","orcid":"https://orcid.org/0000-0001-5160-1365"},"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":"Sifa Zheng","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020115290","display_name":"Chuang Zhang","orcid":"https://orcid.org/0000-0003-3936-8948"},"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":"Chuang Zhang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034327640"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3010978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"2","first_page":"48","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9742000102996826,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9316999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7763357758522034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5361542105674744},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4700899124145508},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.36780545115470886},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32505422830581665},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23875170946121216},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0665503442287445}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7763357758522034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5361542105674744},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4700899124145508},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.36780545115470886},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32505422830581665},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23875170946121216},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0665503442287445},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mits.2024.3509723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mits.2024.3509723","pdf_url":null,"source":{"id":"https://openalex.org/S131000621","display_name":"IEEE Intelligent Transportation Systems Magazine","issn_l":"1939-1390","issn":["1939-1390","1941-1197"],"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 Intelligent Transportation Systems Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1095835165","display_name":null,"funder_award_id":"52221005","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1884815682","https://openalex.org/W1954601274","https://openalex.org/W1999552787","https://openalex.org/W2069015456","https://openalex.org/W2089584121","https://openalex.org/W2099697766","https://openalex.org/W2424778531","https://openalex.org/W2513907769","https://openalex.org/W2530845455","https://openalex.org/W2561603333","https://openalex.org/W2565639579","https://openalex.org/W2883770893","https://openalex.org/W2955189650","https://openalex.org/W2969040309","https://openalex.org/W2991484432","https://openalex.org/W2991653934","https://openalex.org/W3008700642","https://openalex.org/W3034722190","https://openalex.org/W3082048961","https://openalex.org/W3095753995","https://openalex.org/W3108486966","https://openalex.org/W3116669292","https://openalex.org/W3125605478","https://openalex.org/W3128196514","https://openalex.org/W3180491419","https://openalex.org/W3204219722","https://openalex.org/W3204875639","https://openalex.org/W3208267037","https://openalex.org/W3214950490","https://openalex.org/W4282003642","https://openalex.org/W4295308556","https://openalex.org/W4312731878","https://openalex.org/W4362014059","https://openalex.org/W4362559661","https://openalex.org/W4362737009","https://openalex.org/W4383172002","https://openalex.org/W4386076672","https://openalex.org/W4386634496","https://openalex.org/W4388221821","https://openalex.org/W4389692455","https://openalex.org/W4390788068","https://openalex.org/W4390872109","https://openalex.org/W4391247321","https://openalex.org/W4392432793","https://openalex.org/W6628877408","https://openalex.org/W6782468546","https://openalex.org/W6852633825","https://openalex.org/W6854090689"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4323768008"],"abstract_inverted_index":{"In":[0,76],"mixed":[1,169],"and":[2,97,103,131,153,166,239],"complex":[3,112],"traffic":[4,113],"environments,":[5],"intelligent":[6,74],"vehicles":[7],"must":[8],"interact":[9],"with":[10,119,204],"densely":[11],"distributed":[12],"road":[13,51,63,83,202,228],"users,":[14,64],"resulting":[15],"in":[16,68,111],"a":[17,81,125,168],"heavy":[18],"computational":[19,106,292],"workload":[20],"for":[21,44,155,190],"the":[22,35,59,69,105,129,140,161,164,174,181,194,198,217,227,236,244,255,273,284,288,299],"autonomous":[23,109,182,303],"driving":[24,110,183],"system.":[25],"To":[26,230],"address":[27],"this":[28,54,77],"issue,":[29],"current":[30],"research":[31,148],"primarily":[32],"focuses":[33],"on":[34,151,254,283],"crossing/not":[36],"crossing":[37,40],"problem,":[38],"regarding":[39],"intentions":[41],"as":[42],"indicators":[43],"transitioning":[45],"among":[46,176],"predefined":[47],"motion":[48,218],"modes":[49],"of":[50,62,73,90,108,128,142,163,201,248,264,302],"users.":[52],"However,":[53],"methodology":[55],"can":[56],"capture":[57],"only":[58],"short-term":[60,210],"behavior":[61,144],"offering":[65],"limited":[66],"assistance":[67],"long-term":[70],"decision-making":[71],"process":[72],"vehicles.":[75],"article,":[78],"we":[79,123,158,234],"propose":[80],"fast":[82],"user":[84],"interaction":[85],"(FRUIT)":[86],"modeling":[87],"method,":[88],"capable":[89],"integrating":[91],"various":[92],"latent":[93,120,205],"intention":[94],"estimation":[95],"(LIE)":[96],"multimodal":[98],"trajectory":[99],"prediction":[100],"(MTP)":[101],"modules":[102],"improving":[104],"efficiency":[107,293],"environments":[114],"by":[115,294],"excluding":[116],"irrelevant":[117],"agents":[118],"intentions.":[121,206],"Then,":[122],"present":[124],"competitive":[126,277],"implementation":[127],"LIE":[130,135,250],"MTP":[132,195,274],"modules.":[133],"The":[134,246],"module":[136,196,251,275],"is":[137,213,223,252],"built":[138],"upon":[139],"theory":[141],"planned":[143],"(TPB).":[145],"Unlike":[146],"previous":[147],"that":[149],"relies":[150],"surveys":[152],"questionnaires":[154],"qualitative":[156],"analysis,":[157],"quantitatively":[159],"model":[160],"components":[162],"TPB":[165],"employ":[167],"classification":[170],"strategy":[171],"to":[172,185,215,225,242,266,269,280,298],"simulate":[173],"interactions":[175],"these":[177],"components.":[178],"This":[179],"enables":[180],"system":[184],"prioritize":[186],"critical":[187],"risk":[188],"sources":[189],"downstream":[191],"tasks.":[192],"Next,":[193],"predicts":[197],"future":[199],"trajectories":[200],"users":[203],"A":[207],"residual":[208],"long":[209],"memory":[211],"network":[212],"proposed":[214],"extract":[216,226],"features,":[219],"while":[220],"graph":[221],"convolution":[222],"applied":[224],"topology.":[229],"avoid":[231],"mode":[232],"collapse,":[233],"improve":[235],"loss":[237],"function":[238],"postprocessing":[240],"procedure":[241],"enhance":[243],"multimodality.":[245],"effectiveness":[247],"our":[249],"demonstrated":[253],"Pedestrian":[256],"Intention":[257],"Estimation":[258],"dataset,":[259],"displaying":[260],"an":[261],"accuracy":[262],"improvement":[263],"3%":[265],"19%":[267],"compared":[268,279],"related":[270,281],"methods.":[271],"Additionally,":[272],"demonstrates":[276],"performance":[278,301],"methods":[282],"Argoverse":[285],"dataset.":[286],"Finally,":[287],"FRUIT":[289],"method":[290],"enhances":[291],"16.7%,":[295],"thereby":[296],"contributing":[297],"real-time":[300],"driving.":[304]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}