{"id":"https://openalex.org/W4382237584","doi":"https://doi.org/10.1109/saci58269.2023.10158550","title":"Intention-Aware Decision-Making for Mixed Intersection Scenarios","display_name":"Intention-Aware Decision-Making for Mixed Intersection Scenarios","publication_year":2023,"publication_date":"2023-05-23","ids":{"openalex":"https://openalex.org/W4382237584","doi":"https://doi.org/10.1109/saci58269.2023.10158550"},"language":"en","primary_location":{"id":"doi:10.1109/saci58269.2023.10158550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci58269.2023.10158550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"},"type":"preprint","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/A5012021008","display_name":"B\u00e1lint Varga","orcid":"https://orcid.org/0000-0002-4189-0105"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Balint Varga","raw_affiliation_strings":["Institute of Control Systems, Karlsruhe Institute of Technology,Karlsruhe,Germany","Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology,Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103128456","display_name":"Dongxu Yang","orcid":"https://orcid.org/0000-0002-7063-1663"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dongxu Yang","raw_affiliation_strings":["Institute of Control Systems, Karlsruhe Institute of Technology,Karlsruhe,Germany","Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology,Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040502908","display_name":"S\u00f6ren Hohmann","orcid":"https://orcid.org/0000-0002-4170-1431"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S\u00f6ren Hohmann","raw_affiliation_strings":["Institute of Control Systems, Karlsruhe Institute of Technology,Karlsruhe,Germany","Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology,Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Institute of Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012021008"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":2.20668571,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81847755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"000369","last_page":"000374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10370","display_name":"Traffic and Road Safety","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9995999932289124,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7728832364082336},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6631942987442017},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5899657607078552},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5087986588478088},{"id":"https://openalex.org/keywords/decision-making","display_name":"Decision-making","score":0.5067644715309143},{"id":"https://openalex.org/keywords/decision-making-models","display_name":"Decision-making models","score":0.45921751856803894},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.413074791431427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3906606435775757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34517985582351685},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1286907196044922},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12499627470970154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7728832364082336},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6631942987442017},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5899657607078552},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5087986588478088},{"id":"https://openalex.org/C122308676","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision-making","level":3,"score":0.5067644715309143},{"id":"https://openalex.org/C2888476","wikidata":"https://www.wikidata.org/wiki/Q5249202","display_name":"Decision-making models","level":2,"score":0.45921751856803894},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.413074791431427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3906606435775757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34517985582351685},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1286907196044922},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12499627470970154},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci58269.2023.10158550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci58269.2023.10158550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.41999998688697815,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W155097506","https://openalex.org/W1605929701","https://openalex.org/W1994034485","https://openalex.org/W2018260930","https://openalex.org/W2055529535","https://openalex.org/W2093628576","https://openalex.org/W2106549235","https://openalex.org/W2286247980","https://openalex.org/W2415953079","https://openalex.org/W2518708963","https://openalex.org/W2606385607","https://openalex.org/W2767906581","https://openalex.org/W2782064812","https://openalex.org/W2787765181","https://openalex.org/W2806813616","https://openalex.org/W2886300831","https://openalex.org/W2886782599","https://openalex.org/W2902070640","https://openalex.org/W2942081838","https://openalex.org/W2946112597","https://openalex.org/W2963697717","https://openalex.org/W2970140906","https://openalex.org/W2970441374","https://openalex.org/W2972550648","https://openalex.org/W3010309798","https://openalex.org/W3012347129","https://openalex.org/W3097300681","https://openalex.org/W3106734377","https://openalex.org/W3115853998","https://openalex.org/W3120387238","https://openalex.org/W3126714749","https://openalex.org/W3128812970","https://openalex.org/W4206398729","https://openalex.org/W4221153616","https://openalex.org/W4225295859","https://openalex.org/W4252284432","https://openalex.org/W4286285652","https://openalex.org/W4391594437","https://openalex.org/W4399469378","https://openalex.org/W6803317489"],"related_works":["https://openalex.org/W3139745608","https://openalex.org/W1976081005","https://openalex.org/W2321398447","https://openalex.org/W2015729984","https://openalex.org/W2890980449","https://openalex.org/W2560333370","https://openalex.org/W2123594333","https://openalex.org/W2788786982","https://openalex.org/W2475869564","https://openalex.org/W2738034990"],"abstract_inverted_index":{"This":[0,40,153],"paper":[1,88],"presents":[2],"a":[3,13,27,46,65,78,116,137,146,160,186,209],"white-box":[4,138,154],"intention-aware":[5,234],"decision-making":[6,41,102,135,155,172,214],"for":[7],"the":[8,38,69,72,91,95,99,109,112,124,128,131,134,170,196,203,213,229,232],"handling":[9],"of":[10,37,71,81,86,94,127,151,163,195,212,231],"interactions":[11],"between":[12],"pedestrian":[14,73,96,219],"and":[15,56,101,143,149,159,190,202,217],"an":[16,21],"automated":[17,35,183],"vehicle":[18],"(AV)":[19],"in":[20,44,53],"unsignalized":[22],"street":[23,100],"crossing":[24],"scenario.":[25],"Moreover,":[26],"design":[28,211],"framework":[29],"has":[30],"been":[31],"developed,":[32],"which":[33],"enables":[34],"parameterization":[36,184],"decision-making.":[39,235],"is":[42,74,89,115,136,168,215],"designed":[43],"such":[45],"manner":[47],"that":[48,90,169],"it":[49,121],"can":[50,57,122,221],"understand":[51],"pedestrians":[52],"urban":[54],"traffic":[55],"react":[58],"accordingly":[59],"to":[60,68,77,97,140,144],"their":[61],"intentions.":[62],"That":[63],"way,":[64],"human-like":[66,157],"response":[67],"actions":[70],"ensured,":[75],"leading":[76],"higher":[79],"acceptance":[80],"AVs.":[82,152],"The":[83,182,198,226],"core":[84],"notion":[85],"this":[87],"intention":[92,113],"prediction":[93],"cross":[98],"are":[103],"divided":[104],"into":[105,224],"two":[106,192],"subsystems.":[107],"On":[108,130],"one":[110],"hand,":[111,133],"detection":[114],"data-driven,":[117],"black-box":[118],"model.":[119,207],"Thus,":[120],"model":[123,139,201],"complex":[125],"behavior":[126,158],"pedestrians.":[129],"other":[132],"ensure":[141],"traceability":[142],"enable":[145],"rapid":[147,210],"verification":[148],"validation":[150],"provides":[156],"guaranteed":[161],"prevention":[162],"deadlocks.":[164],"An":[165],"additional":[166],"benefit":[167],"proposed":[171,233],"requires":[173],"low":[174],"computational":[175],"resources":[176],"only":[177],"enabling":[178],"real":[179],"world":[180],"usage.":[181],"uses":[185],"particle":[187],"swarm":[188],"optimization":[189],"compares":[191],"different":[193,218],"models":[194],"pedestrian:":[197],"social":[199],"force":[200],"Markov":[204],"decision":[205],"process":[206],"Consequently,":[208],"possible":[216],"behaviors":[220],"be":[222],"taken":[223],"account.":[225],"results":[227],"reinforce":[228],"applicability":[230]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-02-20T08:17:22.645390","created_date":"2025-10-10T00:00:00"}