{"id":"https://openalex.org/W4408281639","doi":"https://doi.org/10.1109/iecon55916.2024.10905592","title":"A Counterfactual Reasoning-based Trajectory Prediction Model for Multiple Agents","display_name":"A Counterfactual Reasoning-based Trajectory Prediction Model for Multiple Agents","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408281639","doi":"https://doi.org/10.1109/iecon55916.2024.10905592"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-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/A5038918043","display_name":"Zhiwu Huang","orcid":"https://orcid.org/0000-0002-7385-079X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwu Huang","raw_affiliation_strings":["Central South University,School of Automation,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Automation,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045682980","display_name":"Xuerui Yang","orcid":"https://orcid.org/0000-0002-7731-2147"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinshu Yang","raw_affiliation_strings":["Central South University,School of Automation,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Automation,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338802","display_name":"Heng Li","orcid":"https://orcid.org/0000-0002-3187-9041"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Li","raw_affiliation_strings":["Central South University,School of Electronic Information,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Electronic Information,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100945307","display_name":"Hongjiang He","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjiang He","raw_affiliation_strings":["Central South University,School of Automation,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Automation,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057387828","display_name":"Hui Peng","orcid":"https://orcid.org/0000-0001-8438-6411"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Peng","raw_affiliation_strings":["Central South University,School of Electronic Information,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Electronic Information,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378593","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-8186-3523"},"institutions":[{"id":"https://openalex.org/I47301684","display_name":"Illinois State University","ror":"https://ror.org/050kcr883","country_code":"US","type":"education","lineage":["https://openalex.org/I47301684"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Illinois State University,Department of Electrical Engineering,Normal,IL,USA,61790"],"affiliations":[{"raw_affiliation_string":"Illinois State University,Department of Electrical Engineering,Normal,IL,USA,61790","institution_ids":["https://openalex.org/I47301684"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038918043"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30094458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9277999997138977,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9277999997138977,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9207000136375427,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9121000170707703,"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/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.9589674472808838},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7655426859855652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6820792555809021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5269946455955505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4181394875049591},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10769206285476685}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.9589674472808838},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7655426859855652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6820792555809021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5269946455955505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4181394875049591},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10769206285476685},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/iecon55916.2024.10905592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2803184913","https://openalex.org/W2963353290","https://openalex.org/W3035096461","https://openalex.org/W3041564249","https://openalex.org/W3116651890","https://openalex.org/W3149485574","https://openalex.org/W3195399086","https://openalex.org/W4212977715","https://openalex.org/W4225718785","https://openalex.org/W4312731878","https://openalex.org/W4312894406","https://openalex.org/W4383172002","https://openalex.org/W4387559331","https://openalex.org/W6756046586","https://openalex.org/W6853383488"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Accurate":[0],"trajectory":[1,67,119],"prediction":[2,120],"is":[3],"crucial":[4],"in":[5,44,98],"autonomous":[6],"driving":[7],"to":[8,60],"ensure":[9],"safe":[10],"and":[11,39,72,81,128],"efficient":[12],"navigation,":[13],"yet":[14],"effectively":[15],"modeling":[16,59,106],"complex":[17],"interactions":[18,108],"among":[19],"multiple":[20],"agents":[21,97],"remains":[22],"a":[23,40,99,102],"significant":[24],"challenge.":[25],"Many":[26],"existing":[27],"methods":[28,127],"still":[29],"suffer":[30],"from":[31],"over-reliance":[32],"on":[33,135],"HD":[34],"maps,":[35],"high":[36],"computational":[37],"cost,":[38],"lack":[41],"of":[42,64,76,125],"interpretability":[43],"interaction":[45,58,79],"reasoning.":[46,111],"In":[47,74],"response,":[48],"the":[49,62,77,82,89,123],"proposed":[50],"model":[51,121],"innovatively":[52],"incorporates":[53],"counterfactual":[54],"reasoning":[55],"into":[56],"social":[57,107],"tackle":[61],"challenges":[63],"interaction-aware":[65],"multi-agent":[66],"prediction,":[68],"prioritizing":[69],"both":[70],"accuracy":[71],"efficiency.":[73],"light":[75],"spatiotemporal":[78],"mechanism":[80],"inherent":[83],"human":[84],"cognition":[85],"governing":[86],"agents\u2019":[87],"motion,":[88],"approach":[90],"simultaneously":[91],"generates":[92],"multi-modal":[93],"trajectories":[94],"for":[95,105],"all":[96],"scenario,":[100],"providing":[101],"novel":[103],"perspective":[104],"through":[109],"causal":[110],"The":[112],"results":[113],"demonstrate":[114],"that":[115],"our":[116],"map-free,":[117],"lightweight":[118],"rivals":[122],"performance":[124],"state-of-the-art":[126],"shows":[129],"notable":[130],"improvements":[131],"over":[132],"various":[133],"baselines":[134],"publicly":[136],"available":[137],"real-world":[138],"datasets.":[139]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}