{"id":"https://openalex.org/W4401416367","doi":"https://doi.org/10.1109/icra57147.2024.10610819","title":"JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions","display_name":"JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4401416367","doi":"https://doi.org/10.1109/icra57147.2024.10610819"},"language":"en","primary_location":{"id":"doi:10.1109/icra57147.2024.10610819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5093052773","display_name":"Kenta Mukoya","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenta Mukoya","raw_affiliation_strings":["Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104347505","display_name":"Erica Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erica Weng","raw_affiliation_strings":["Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063481395","display_name":"Rohan Choudhury","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohan Choudhury","raw_affiliation_strings":["Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037322163","display_name":"Kris Kitani","orcid":"https://orcid.org/0000-0002-9389-4060"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kris Kitani","raw_affiliation_strings":["Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":3.9452,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.94954668,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9600","last_page":"9607"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9958000183105469,"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/T10370","display_name":"Traffic and Road Safety","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7966032028198242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6485530734062195},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4718204438686371},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.34194570779800415},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21474754810333252}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7966032028198242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485530734062195},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4718204438686371},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.34194570779800415},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21474754810333252}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra57147.2024.10610819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra57147.2024.10610819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5799999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317941","display_name":"DENSO","ror":"https://ror.org/04hkpfa76"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W192919555","https://openalex.org/W1959608418","https://openalex.org/W2115579991","https://openalex.org/W2607296803","https://openalex.org/W2612690371","https://openalex.org/W2894978157","https://openalex.org/W2940129212","https://openalex.org/W2962101532","https://openalex.org/W2962687116","https://openalex.org/W2963001155","https://openalex.org/W2963809389","https://openalex.org/W2982745079","https://openalex.org/W2985871763","https://openalex.org/W2986406093","https://openalex.org/W3009598490","https://openalex.org/W3011353537","https://openalex.org/W3014717641","https://openalex.org/W3016705845","https://openalex.org/W3028769608","https://openalex.org/W3035096461","https://openalex.org/W3035574168","https://openalex.org/W3035613220","https://openalex.org/W3035692480","https://openalex.org/W3062588417","https://openalex.org/W3097237405","https://openalex.org/W3108262631","https://openalex.org/W3108486966","https://openalex.org/W3108490973","https://openalex.org/W3108908812","https://openalex.org/W3115517346","https://openalex.org/W3116651890","https://openalex.org/W3127710918","https://openalex.org/W3131623996","https://openalex.org/W3134000433","https://openalex.org/W3139047046","https://openalex.org/W3139491754","https://openalex.org/W3154724615","https://openalex.org/W3155186850","https://openalex.org/W3156216502","https://openalex.org/W3199048838","https://openalex.org/W3199626032","https://openalex.org/W3201917469","https://openalex.org/W3205577082","https://openalex.org/W4206209964","https://openalex.org/W4212774754","https://openalex.org/W4221153516","https://openalex.org/W4225918570","https://openalex.org/W4226239849","https://openalex.org/W4286696412","https://openalex.org/W4292794796","https://openalex.org/W4295719664","https://openalex.org/W4298289240","https://openalex.org/W4312457193","https://openalex.org/W4312610636","https://openalex.org/W4312750092","https://openalex.org/W4312930023","https://openalex.org/W4313131073","https://openalex.org/W4317385013","https://openalex.org/W4321593267","https://openalex.org/W4387595895","https://openalex.org/W4390889800","https://openalex.org/W6610566761","https://openalex.org/W6739901393","https://openalex.org/W6748320467","https://openalex.org/W6764947442","https://openalex.org/W6765361892","https://openalex.org/W6767252667","https://openalex.org/W6769043036","https://openalex.org/W6774405138","https://openalex.org/W6810945367","https://openalex.org/W6849840034"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W566791342","https://openalex.org/W3136214354","https://openalex.org/W3172487415","https://openalex.org/W608736979","https://openalex.org/W631954924","https://openalex.org/W2148933895"],"abstract_inverted_index":{"Developing":[0],"autonomous":[1,114],"vehicles":[2],"that":[3,28,119],"can":[4,43],"safely":[5],"interact":[6],"with":[7,89,122],"pedestrians":[8,37],"requires":[9],"large":[10],"amounts":[11],"of":[12,75,105],"pedestrian":[13],"and":[14,46,72,127,132,135],"vehicle":[15],"data":[16,27,62,92,107],"in":[17,109,139],"order":[18],"to":[19,48,58,63],"learn":[20],"accurate":[21],"pedestrian-vehicle":[22,77],"interaction":[23,61,78,91],"models.":[24],"However,":[25],"gathering":[26],"include":[29],"crucial":[30],"but":[31],"rare":[32,140],"scenarios":[33,96],"-":[34,42],"such":[35],"as":[36],"jaywalking":[38],"into":[39],"heavy":[40],"traffic":[41],"be":[44],"costly":[45],"unsafe":[47],"collect.":[49],"We":[50,117],"propose":[51],"a":[52,86],"virtual":[53],"reality":[54],"human-in-the-loop":[55],"simulator,":[56,83],"JaywalkerVR,":[57],"obtain":[59],"vehicle-pedestrian":[60,90,141],"address":[64],"these":[65],"challenges.":[66],"Our":[67],"system":[68],"enables":[69],"efficient,":[70],"affordable,":[71],"safe":[73],"collection":[74],"long-tail":[76,106],"data.":[79],"Using":[80],"our":[81],"proposed":[82],"we":[84],"create":[85],"high-quality":[87],"dataset":[88,101],"from":[93],"safety":[94],"critical":[95],"called":[97],"CARLA-VR.":[98],"The":[99],"CARLA-VR":[100,123],"addresses":[102],"the":[103],"lack":[104],"samples":[108],"commonly":[110],"used":[111],"real":[112],"world":[113],"driving":[115],"datasets.":[116],"demonstrate":[118],"models":[120],"trained":[121],"improve":[124],"displacement":[125],"error":[126],"collision":[128],"rate":[129],"by":[130],"10.7%":[131],"4.9%,":[133],"respectively,":[134],"are":[136],"more":[137],"robust":[138],"scenarios.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
