{"id":"https://openalex.org/W4308080630","doi":"https://doi.org/10.1109/itsc55140.2022.9921868","title":"Scalable Data Set Distillation for the Development of Automated Driving Functions","display_name":"Scalable Data Set Distillation for the Development of Automated Driving Functions","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308080630","doi":"https://doi.org/10.1109/itsc55140.2022.9921868"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9921868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921868","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th 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/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/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":"Eric Sax","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064606915"],"corresponding_institution_ids":["https://openalex.org/I143379178"],"apc_list":null,"apc_paid":null,"fwci":0.2168,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35043845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3139","last_page":"3145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.995199978351593,"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":0.995199978351593,"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/T11106","display_name":"Data Management and Algorithms","score":0.9616000056266785,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12095","display_name":"Vehicle emissions and performance","score":0.945900022983551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8033677339553833},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.718567967414856},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5805538892745972},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5666155815124512},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.557249128818512},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5468617677688599},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.545281708240509},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4629998803138733},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.43940553069114685},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4348442256450653},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4216204285621643},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4144039750099182},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4026976227760315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32736754417419434},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.29769083857536316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2835645377635956},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11881303787231445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8033677339553833},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.718567967414856},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5805538892745972},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5666155815124512},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.557249128818512},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5468617677688599},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.545281708240509},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4629998803138733},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.43940553069114685},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4348442256450653},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4216204285621643},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4144039750099182},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4026976227760315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32736754417419434},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.29769083857536316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2835645377635956},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11881303787231445},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9921868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921868","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323803","display_name":"Bundesministerium f\u00fcr Wirtschaft und Energie","ror":"https://ror.org/02vgg2808"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2625725254","https://openalex.org/W2563912921"],"abstract_inverted_index":{"Since":[0],"highly":[1],"automated":[2,25],"driving":[3,26,38,70,76,146],"functions":[4,27,71,77],"are":[5,47,53,100],"obligated":[6],"to":[7,20,31,68,84,143,157,166],"work":[8],"safely":[9],"without":[10],"human":[11],"interference,":[12],"careful":[13],"and":[14,58,129,149,164,170,182],"comprehensive":[15],"testing":[16,95],"is":[17,66,79,141,176],"mandatory.":[18],"Due":[19],"the":[21,56,64,87,91,110,127,133,145],"open":[22,60],"world":[23],"context,":[24],"must":[28],"be":[29,151],"able":[30],"cope":[32,85],"with":[33,86],"a":[34,114,122],"huge":[35,44],"variety":[36],"of":[37,93,106,135],"situations.":[39,173],"To":[40,102],"achieve":[41],"this":[42],"goal,":[43],"data":[45,51,65,98,137],"sets":[46,52,99],"being":[48],"recorded.":[49],"These":[50],"used":[54],"in":[55,59],"development":[57],"loop":[61],"tests":[62],"where":[63],"replayed":[67],"examine":[69],"under":[72],"diverse":[73],"conditions.":[74],"The":[75,139,174],"design":[78],"based":[80,116,124],"on":[81,113,117,126],"machine":[82],"learning":[83],"variant":[88],"environment.":[89],"For":[90],"generation":[92],"meaningful":[94],"evidences,":[96],"well-tailored":[97],"necessary.":[101],"avoid":[103],"costly":[104],"processing":[105],"voluminous":[107],"sensor":[108],"data,":[109],"focus":[111],"lies":[112],"method":[115,140],"metadata.":[118],"Therefore,":[119],"we":[120],"present":[121],"methodology":[123],"only":[125],"position":[128],"temporal":[130],"information":[131],"for":[132,179],"distillation":[134],"automotive":[136],"sets.":[138],"intended":[142],"support":[144],"function":[147],"experts":[148],"can":[150],"easily":[152],"parameterized":[153],"by":[154],"them":[155],"according":[156],"their":[158],"requirements.":[159],"This":[160],"enables":[161],"broad":[162],"scalability":[163],"allows":[165],"efficiently":[167],"find":[168],"specific":[169],"potentially":[171],"challenging":[172],"process":[175],"presented":[177],"exemplarily":[178],"sun":[180],"positions":[181],"geographical":[183],"data.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}