{"id":"https://openalex.org/W4408698700","doi":"https://doi.org/10.1109/itsc58415.2024.10920034","title":"CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing","display_name":"CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408698700","doi":"https://doi.org/10.1109/itsc58415.2024.10920034"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10920034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10920034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th 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/A5064606915","display_name":"Philipp Rigoll","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Philipp Rigoll","raw_affiliation_strings":["FZI Research Center for Information Technology,Karlsruhe,Germany,76131"],"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology,Karlsruhe,Germany,76131","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022453004","display_name":"Laurenz Adolph","orcid":"https://orcid.org/0009-0006-1454-9792"},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Laurenz Adolph","raw_affiliation_strings":["FZI Research Center for Information Technology,Karlsruhe,Germany,76131"],"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology,Karlsruhe,Germany,76131","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085252206","display_name":"Lennart Ries","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lennart Ries","raw_affiliation_strings":["FZI Research Center for Information Technology,Karlsruhe,Germany,76131"],"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology,Karlsruhe,Germany,76131","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080457302","display_name":"Eric Sax","orcid":"https://orcid.org/0000-0003-2567-2340"},"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":"Eric Sax","raw_affiliation_strings":["Karlsruhe Institute of Technology,Karlsruhe,Germany,76131"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology,Karlsruhe,Germany,76131","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064606915"],"corresponding_institution_ids":["https://openalex.org/I143379178"],"apc_list":null,"apc_paid":null,"fwci":0.2554,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59198818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2398","last_page":"2404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sweet-spot","display_name":"Sweet spot","score":0.8248193860054016},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.7043516039848328},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5969821214675903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.588721513748169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49732139706611633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49448347091674805},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1486409306526184},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.11774083971977234},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06762534379959106}],"concepts":[{"id":"https://openalex.org/C2993112377","wikidata":"https://www.wikidata.org/wiki/Q1206825","display_name":"Sweet spot","level":3,"score":0.8248193860054016},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.7043516039848328},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5969821214675903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.588721513748169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49732139706611633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49448347091674805},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1486409306526184},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.11774083971977234},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06762534379959106},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C3019090810","wikidata":"https://www.wikidata.org/wiki/Q192431","display_name":"Speed skating","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10920034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10920034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4769925832","display_name":null,"funder_award_id":"19A23003H","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2147069236","https://openalex.org/W2656095251","https://openalex.org/W2947981168","https://openalex.org/W3166396011","https://openalex.org/W3216130706","https://openalex.org/W4214708455","https://openalex.org/W4229597490","https://openalex.org/W4315562756","https://openalex.org/W4366085645","https://openalex.org/W4390601198","https://openalex.org/W4392341051","https://openalex.org/W4400645089","https://openalex.org/W6656889479","https://openalex.org/W6786851224","https://openalex.org/W6795089862","https://openalex.org/W6846237605","https://openalex.org/W6851893293"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Perception":[0],"systems,":[1,82],"especially":[2],"cameras,":[3],"are":[4,30,62,73,103,186],"the":[5,25,35,48,51,67,77,108,129,140,150,154,181],"eyes":[6],"of":[7,27,37,50,53,66,79,131],"automated":[8,38,80],"driving":[9,39,81],"systems.":[10,40],"Ensuring":[11],"that":[12,174,183],"they":[13],"function":[14],"reliably":[15],"and":[16,147,166,179],"robustly":[17],"is":[18,85,161,171,177],"therefore":[19,74],"an":[20],"important":[21,173],"building":[22],"block":[23],"in":[24,91,99,110,121,143,180],"automation":[26],"vehicles.":[28],"There":[29],"various":[31],"approaches":[32],"to":[33,47,87,96,115,118,126,153],"test":[34],"perception":[36,54],"Ultimately,":[41],"however,":[42],"it":[43,84],"always":[44],"comes":[45],"down":[46],"investigation":[49],"behavior":[52],"systems":[55],"under":[56],"specific":[57,89],"input":[58,68],"data.":[59,69],"Camera":[60],"images":[61,90,109,151],"a":[63,111,119,136,157,191],"crucial":[64],"part":[65],"Image":[70],"data":[71,93,112],"sets":[72],"collected":[75],"for":[76,106],"testing":[78],"but":[83],"non-trivial":[86],"find":[88],"these":[92,144],"sets.":[94],"Thanks":[95],"recent":[97],"developments":[98],"neural":[100],"networks,":[101],"there":[102],"now":[104],"methods":[105],"sorting":[107],"set":[113],"according":[114],"their":[116],"similarity":[117],"prompt":[120,155],"natural":[122],"language.":[123],"In":[124],"order":[125],"further":[127],"automate":[128],"provision":[130],"search":[132],"results,":[133],"we":[134,189],"make":[135],"contribution":[137],"by":[138],"automating":[139],"threshold":[141],"definition":[142],"sorted":[145],"results":[146],"returning":[148],"only":[149],"relevant":[152],"as":[156],"result.":[158],"Our":[159],"focus":[160],"on":[162],"preventing":[163],"false":[164,167],"positives":[165],"negatives":[168],"equally.":[169],"It":[170],"also":[172],"our":[175,184],"method":[176],"robust":[178],"case":[182],"assumptions":[185],"not":[187],"fulfilled,":[188],"provide":[190],"fallback":[192],"solution.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}