{"id":"https://openalex.org/W4391768484","doi":"https://doi.org/10.1109/itsc57777.2023.10422167","title":"Synthetic Outlier Generation for Anomaly Detection in Autonomous Driving","display_name":"Synthetic Outlier Generation for Anomaly Detection in Autonomous Driving","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391768484","doi":"https://doi.org/10.1109/itsc57777.2023.10422167"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422167","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10422167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","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/A5092609656","display_name":"Martin Bikandi","orcid":"https://orcid.org/0009-0002-6831-9395"},"institutions":[{"id":"https://openalex.org/I4210092551","display_name":"Vicomtech","ror":"https://ror.org/0023sah13","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210092551"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Martin Bikandi","raw_affiliation_strings":["Basque Research and Technology Alliance (BRTA),Vicomtech Foundation,Donostia-San Sebastián,Spain,20009"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Basque Research and Technology Alliance (BRTA),Vicomtech Foundation,Donostia-San Sebastián,Spain,20009","institution_ids":["https://openalex.org/I4210092551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006980840","display_name":"Gorka V\u00e9lez","orcid":"https://orcid.org/0000-0002-8367-2413"},"institutions":[{"id":"https://openalex.org/I4210092551","display_name":"Vicomtech","ror":"https://ror.org/0023sah13","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210092551"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gorka Velez","raw_affiliation_strings":["Basque Research and Technology Alliance (BRTA),Vicomtech Foundation,Donostia-San Sebastián,Spain,20009"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Basque Research and Technology Alliance (BRTA),Vicomtech Foundation,Donostia-San Sebastián,Spain,20009","institution_ids":["https://openalex.org/I4210092551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023770749","display_name":"Naiara Aginako","orcid":"https://orcid.org/0000-0002-2156-8215"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naiara Aginako","raw_affiliation_strings":["UPV/EHU, Faculty of Informatics,Donostia-San Sebastián,Spain,20018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UPV/EHU, Faculty of Informatics,Donostia-San Sebastián,Spain,20018","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084713480","display_name":"Itziar Irigoien","orcid":"https://orcid.org/0000-0001-5728-4399"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Itziar Irigoien","raw_affiliation_strings":["UPV/EHU, Faculty of Informatics,Donostia-San Sebastián,Spain,20018"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UPV/EHU, Faculty of Informatics,Donostia-San Sebastián,Spain,20018","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3173,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65544289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"162","issue":null,"first_page":"1146","last_page":"1151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9643999934196472,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.930899977684021,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/anomaly-detection","display_name":"Anomaly detection","score":0.7930046916007996},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.580856204032898},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5566123723983765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.544331431388855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43814581632614136},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09396708011627197}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7930046916007996},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.580856204032898},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5566123723983765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544331431388855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43814581632614136},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09396708011627197},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10422167","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10422167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2141966243","https://openalex.org/W2507296351","https://openalex.org/W2787091153","https://openalex.org/W2933610837","https://openalex.org/W2964137095","https://openalex.org/W3176640650","https://openalex.org/W3204557602","https://openalex.org/W4210307546","https://openalex.org/W4214530306","https://openalex.org/W4283066310","https://openalex.org/W4292787455","https://openalex.org/W4312601785","https://openalex.org/W4321231419","https://openalex.org/W4382365527","https://openalex.org/W4390190806","https://openalex.org/W6757615711","https://openalex.org/W6787380718"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2806741695","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160"],"abstract_inverted_index":{"Anomaly":[0],"detection,":[1,4],"or":[2,21,52],"outlier":[3,53],"is":[5,36],"a":[6,97],"crucial":[7],"task":[8],"in":[9,50,91,132],"various":[10],"domains":[11],"to":[12,39,77,104],"identify":[13],"instances":[14],"that":[15,100],"significantly":[16],"deviate":[17],"from":[18],"established":[19],"patterns":[20],"the":[22,27,32,78,82,112,115,122,133],"majority":[23],"of":[24,29,34,81,114,124,135],"data.":[25],"In":[26,55],"context":[28,134],"autonomous":[30,136],"driving,":[31],"identification":[33],"anomalies":[35],"particularly":[37],"important":[38],"prevent":[40],"safety-critical":[41],"incidents,":[42],"as":[43],"deep":[44],"learning":[45],"models":[46],"often":[47],"exhibit":[48],"overconfidence":[49],"anomalous":[51],"samples.":[54],"this":[56],"study,":[57],"we":[58,86,95],"explore":[59],"different":[60],"strategies":[61,127],"for":[62,128],"training":[63,79],"an":[64,70],"image":[65],"semantic":[66],"segmentation":[67],"model":[68],"with":[69],"anomaly":[71,92,130],"detection":[72,131],"module.":[73],"By":[74],"introducing":[75],"modifications":[76],"stage":[80],"state-of-the-art":[83],"DenseHybrid":[84,107,117],"model,":[85],"achieve":[87],"significant":[88],"performance":[89,113],"improvements":[90],"detection.":[93],"Moreover,":[94],"propose":[96],"simplified":[98],"detector":[99],"achieves":[101],"comparable":[102],"results":[103],"our":[105,125],"modified":[106],"approach,":[108],"while":[109],"also":[110],"surpassing":[111],"original":[116],"model.":[118],"These":[119],"findings":[120],"demonstrate":[121],"efficacy":[123],"proposed":[126],"enhancing":[129],"driving.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}