{"id":"https://openalex.org/W4389761934","doi":"https://doi.org/10.1080/15472450.2023.2291680","title":"DAnoScenE: a driving anomaly scenario extraction framework for autonomous vehicles in urban streets","display_name":"DAnoScenE: a driving anomaly scenario extraction framework for autonomous vehicles in urban streets","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4389761934","doi":"https://doi.org/10.1080/15472450.2023.2291680"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2023.2291680","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2023.2291680","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","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/A5100898037","display_name":"Yuening Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuening Hu","raw_affiliation_strings":["School of Traffic Management, People\u2019s Public Security University of China","School of Traffic Management, People's Public Security University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic Management, People\u2019s Public Security University of China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"School of Traffic Management, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102014967","display_name":"Dan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Zhao","raw_affiliation_strings":["School of Traffic Management, People\u2019s Public Security University of China","School of Traffic Management, People's Public Security University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic Management, People\u2019s Public Security University of China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"School of Traffic Management, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347123","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0002-6240-5535"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["School of Traffic Management, People\u2019s Public Security University of China","School of Traffic Management, People's Public Security University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic Management, People\u2019s Public Security University of China","institution_ids":["https://openalex.org/I37448385"]},{"raw_affiliation_string":"School of Traffic Management, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016608367","display_name":"Guangming Zhao","orcid":"https://orcid.org/0000-0002-2179-1927"},"institutions":[{"id":"https://openalex.org/I889937125","display_name":"National Patient Safety Foundation","ror":"https://ror.org/01df6fw27","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I889937125"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangming Zhao","raw_affiliation_strings":["Research Institution for Road Safety of MPS","Research Institution for Road Safety of MPS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Institution for Road Safety of MPS","institution_ids":["https://openalex.org/I889937125"]},{"raw_affiliation_string":"Research Institution for Road Safety of MPS, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102014967"],"corresponding_institution_ids":["https://openalex.org/I37448385"],"apc_list":null,"apc_paid":null,"fwci":0.23,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52664804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"29","issue":"1","first_page":"32","last_page":"52"},"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/T10524","display_name":"Traffic control and management","score":0.9955000281333923,"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"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/extraction","display_name":"Extraction (chemistry)","score":0.6034097671508789},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5185928344726562},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.49922823905944824},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.47804147005081177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4382873773574829},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.36440640687942505},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3460482358932495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1671161651611328}],"concepts":[{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6034097671508789},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5185928344726562},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.49922823905944824},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.47804147005081177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4382873773574829},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.36440640687942505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3460482358932495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1671161651611328},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2023.2291680","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2023.2291680","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G8854588968","display_name":null,"funder_award_id":"2022SJKJS06","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2057483198","https://openalex.org/W2111876879","https://openalex.org/W2281287867","https://openalex.org/W2312819030","https://openalex.org/W2525936901","https://openalex.org/W2554989812","https://openalex.org/W2560609797","https://openalex.org/W2896642734","https://openalex.org/W2900815881","https://openalex.org/W2912445127","https://openalex.org/W2955189650","https://openalex.org/W2963292632","https://openalex.org/W2972795451","https://openalex.org/W2981552608","https://openalex.org/W2995260396","https://openalex.org/W3010764092","https://openalex.org/W3011888019","https://openalex.org/W3035574168","https://openalex.org/W3098940813","https://openalex.org/W3103246313","https://openalex.org/W3117054268","https://openalex.org/W3122151369","https://openalex.org/W3127930352","https://openalex.org/W3156216502","https://openalex.org/W3176888779","https://openalex.org/W3181177996","https://openalex.org/W3181902122","https://openalex.org/W3203076355","https://openalex.org/W3209351137","https://openalex.org/W3209943065","https://openalex.org/W4200170951","https://openalex.org/W4214645016","https://openalex.org/W4220772424","https://openalex.org/W4285168962","https://openalex.org/W4287073825","https://openalex.org/W4287115177","https://openalex.org/W4287899693","https://openalex.org/W4297944254","https://openalex.org/W4308068550","https://openalex.org/W4313147057","https://openalex.org/W4313484219","https://openalex.org/W4313592154","https://openalex.org/W4353056919","https://openalex.org/W4381806433","https://openalex.org/W4383172002","https://openalex.org/W4386076547"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1],"(AVs)":[2],"hold":[3],"great":[4],"potential":[5],"to":[6,30,41,75,80,127,177],"improve":[7],"traffic":[8,155],"safety.":[9],"However,":[10],"urban":[11,64],"streets":[12],"present":[13],"a":[14,27,32,52,122,183,239],"dynamic":[15],"environment":[16],"where":[17],"unforeseen":[18],"and":[19,44,96,106,116,129,142,157,170,210,234],"complex":[20],"scenarios":[21,37,152,192],"can":[22],"arise.":[23],"The":[24,67,90,197,221],"establishment":[25],"of":[26,34,85,98,151,159,230],"systematic":[28],"framework":[29,58,223],"extract":[31],"variety":[33],"vehicle":[35,119,131],"driving":[36,53,87,99,108,140,204,232,245],"could":[38],"empower":[39],"AVs":[40,61],"learn":[42],"from":[43,111],"effectively":[45],"navigate":[46],"various":[47],"situations.":[48],"This":[49],"study":[50],"introduces":[51],"anomaly":[54,88,205],"scenario":[55,164,179,206,212],"extraction":[56],"(DAnoScenE)":[57],"tailored":[59],"for":[60,203,227],"operating":[62],"in":[63,134],"street":[65],"settings.":[66],"Waymo":[68],"Open":[69],"Motion":[70],"Dataset":[71],"(WOMD)":[72],"is":[73,125,175],"used":[74],"showcase":[76],"the":[77,94,103,211,228],"framework's":[78],"capability":[79],"capture":[81],"an":[82],"extensive":[83],"range":[84],"realistic":[86],"scenarios.":[89],"central":[91],"process":[92,185],"involves":[93],"detection":[95],"labeling":[97,147],"anomalies.":[100],"To":[101,137],"avoid":[102],"erroneous":[104],"detected":[105],"labeled":[107],"anomalies":[109,141],"arising":[110],"issues":[112],"such":[113,153],"as":[114,154],"outliers":[115],"noise":[117],"within":[118],"track":[120],"data,":[121],"two-step":[123],"approach":[124],"introduced":[126],"analyze":[128],"rectify":[130],"movement":[132],"parameters":[133],"raw":[135],"data.":[136],"comprehend":[138],"these":[139],"their":[143],"associated":[144],"scenarios,":[145],"manual":[146],"identifies":[148],"causative":[149],"factors":[150],"signals":[156],"behaviors":[158],"other":[160],"agents,":[161],"forming":[162],"three":[163],"groups:":[165],"Signal":[166],"Interaction,":[167,169],"Agent":[168],"Other.":[171],"A":[172],"multimodal":[173],"model":[174],"developed":[176],"classify":[178],"groups,":[180],"complemented":[181],"by":[182,218],"segmentation":[184,213],"that":[186,200],"further":[187],"divides":[188],"groups":[189,207],"into":[190],"specific":[191,240],"based":[193],"on":[194,242],"simple":[195,219],"conditions.":[196,220],"results":[198],"show":[199],"recognition":[201],"accuracy":[202,217],"achieved":[208,215],"98.4%,":[209],"method":[214],"100%":[216],"proposed":[222],"provides":[224],"valuable":[225],"support":[226],"advancement":[229],"autonomous":[231],"algorithms":[233],"comprehensive":[235],"AV":[236],"testing,":[237],"with":[238],"emphasis":[241],"navigating":[243],"abnormal":[244],"environments.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}