{"id":"https://openalex.org/W2792239816","doi":"https://doi.org/10.1109/lra.2018.2805314","title":"A Recurrent Neural Network Solution for Predicting Driver Intention at Unsignalized Intersections","display_name":"A Recurrent Neural Network Solution for Predicting Driver Intention at Unsignalized Intersections","publication_year":2018,"publication_date":"2018-02-12","ids":{"openalex":"https://openalex.org/W2792239816","doi":"https://doi.org/10.1109/lra.2018.2805314","mag":"2792239816"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2018.2805314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2018.2805314","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","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/A5048572024","display_name":"Alex Zyner","orcid":"https://orcid.org/0000-0002-7569-2131"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Alex Zyner","raw_affiliation_strings":["Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7569-2131","affiliations":[{"raw_affiliation_string":"Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070356056","display_name":"Stewart Worrall","orcid":"https://orcid.org/0000-0001-7940-4742"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stewart Worrall","raw_affiliation_strings":["Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053507972","display_name":"E. Nebot","orcid":"https://orcid.org/0000-0002-3914-3741"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Eduardo Nebot","raw_affiliation_strings":["Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I4210127558","https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048572024"],"corresponding_institution_ids":["https://openalex.org/I129604602","https://openalex.org/I4210127558"],"apc_list":null,"apc_paid":null,"fwci":9.7581,"has_fulltext":false,"cited_by_count":187,"citation_normalized_percentile":{"value":0.98329131,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"3","issue":"3","first_page":"1759","last_page":"1764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T10370","display_name":"Traffic and Road Safety","score":0.9987999796867371,"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/T10524","display_name":"Traffic control and management","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/roundabout","display_name":"Roundabout","score":0.911446750164032},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.8220545649528503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7151821851730347},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.5770045518875122},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.562828004360199},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5583544969558716},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5109500288963318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4752609133720398},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.47421005368232727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4490549862384796},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.43725085258483887},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3568668067455292},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.139449805021286},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1022002100944519}],"concepts":[{"id":"https://openalex.org/C109157449","wikidata":"https://www.wikidata.org/wiki/Q7371221","display_name":"Roundabout","level":2,"score":0.911446750164032},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.8220545649528503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7151821851730347},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.5770045518875122},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.562828004360199},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5583544969558716},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5109500288963318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4752609133720398},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.47421005368232727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4490549862384796},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.43725085258483887},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3568668067455292},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.139449805021286},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1022002100944519},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2018.2805314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2018.2805314","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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 Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W562193428","https://openalex.org/W1591801644","https://openalex.org/W1614298861","https://openalex.org/W2009459608","https://openalex.org/W2012849708","https://openalex.org/W2050931558","https://openalex.org/W2068450936","https://openalex.org/W2076369695","https://openalex.org/W2097545165","https://openalex.org/W2124036500","https://openalex.org/W2134822252","https://openalex.org/W2135153595","https://openalex.org/W2145060092","https://openalex.org/W2153323685","https://openalex.org/W2293634267","https://openalex.org/W2424778531","https://openalex.org/W2567297805","https://openalex.org/W2740566719","https://openalex.org/W2741066535","https://openalex.org/W2741087535","https://openalex.org/W2963692464","https://openalex.org/W6600284362","https://openalex.org/W6615684220","https://openalex.org/W6635446068","https://openalex.org/W6636510571","https://openalex.org/W6696934422"],"related_works":["https://openalex.org/W3092137859","https://openalex.org/W1976279116","https://openalex.org/W4232280237","https://openalex.org/W3040229530","https://openalex.org/W631467614","https://openalex.org/W591569266","https://openalex.org/W2795278376","https://openalex.org/W2972480561","https://openalex.org/W631457042","https://openalex.org/W2972375966"],"abstract_inverted_index":{"In":[0],"this":[1,109],"letter,":[2],"we":[3],"present":[4,36,79],"a":[5,18,37,49,66,68,80,87,117],"system":[6,52,112],"capable":[7],"of":[8,25,71,93,104],"inferring":[9],"intent":[10],"from":[11,48],"observed":[12],"vehicles":[13],"traversing":[14],"an":[15],"unsignalized":[16,72],"intersection,":[17],"task":[19],"critical":[20],"for":[21,30],"the":[22,102,105],"safe":[23],"driving":[24],"autonomous":[26],"vehicles,":[27],"and":[28],"beneficial":[29],"advanced":[31],"driver":[32],"assistance":[33],"systems.":[34],"We":[35,77],"prediction":[38,120],"method":[39],"based":[40],"on":[41,65],"recurrent":[42],"neural":[43],"networks":[44],"that":[45],"takes":[46],"data":[47],"Lidar-based":[50],"tracking":[51],"similar":[53],"to":[54,100],"those":[55],"expected":[56],"in":[57,74,86,108],"future":[58],"smart":[59],"vehicles.":[60],"The":[61,111],"model":[62],"is":[63,98],"validated":[64],"roundabout,":[67],"popular":[69],"style":[70],"intersection":[73,89],"urban":[75],"areas.":[76],"also":[78],"very":[81],"large":[82],"naturalistic":[83],"dataset":[84,97],"recorded":[85],"typical":[88],"during":[90],"two":[91],"days":[92],"operation.":[94],"This":[95],"comprehensive":[96],"used":[99],"demonstrate":[101],"performance":[103],"algorithm":[106],"introduced":[107],"letter.":[110],"produces":[113],"excellent":[114],"results,":[115],"giving":[116],"significant":[118],"1.3-s":[119],"window":[121],"before":[122],"any":[123],"potential":[124],"conflict":[125],"occurs.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":9}],"updated_date":"2026-06-01T08:46:32.239190","created_date":"2025-10-10T00:00:00"}
