{"id":"https://openalex.org/W4386597835","doi":"https://doi.org/10.1109/mmar58394.2023.10242489","title":"A Clustering-Based Data Reduction for the Large Automotive Datasets","display_name":"A Clustering-Based Data Reduction for the Large Automotive Datasets","publication_year":2023,"publication_date":"2023-08-22","ids":{"openalex":"https://openalex.org/W4386597835","doi":"https://doi.org/10.1109/mmar58394.2023.10242489"},"language":"en","primary_location":{"id":"doi:10.1109/mmar58394.2023.10242489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar58394.2023.10242489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR)","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/A5047804200","display_name":"Patryk Siwek","orcid":"https://orcid.org/0009-0000-2974-2380"},"institutions":[{"id":"https://openalex.org/I4210092770","display_name":"Cracow University of Technology","ror":null,"country_code":"PL","type":null,"lineage":["https://openalex.org/I4210092770"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Patryk Siwek","raw_affiliation_strings":["Aptiv Services Poland S.A.,Cracow,Poland","Aptiv Services Poland S.A., Cracow, Poland"],"affiliations":[{"raw_affiliation_string":"Aptiv Services Poland S.A.,Cracow,Poland","institution_ids":["https://openalex.org/I4210092770"]},{"raw_affiliation_string":"Aptiv Services Poland S.A., Cracow, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046738374","display_name":"Pawe\u0142 Skruch","orcid":"https://orcid.org/0000-0002-8290-8375"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawe\u0142 Skruch","raw_affiliation_strings":["AGH University of Science and Technology,Cracow,Poland","AGH University of Science and Technology, Cracow, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology,Cracow,Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"AGH University of Science and Technology, Cracow, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042901245","display_name":"Marek D\u0142ugosz","orcid":"https://orcid.org/0000-0001-6827-9149"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marek D\u0142ugosz","raw_affiliation_strings":["AGH University of Science and Technology,Cracow,Poland","AGH University of Science and Technology, Cracow, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology,Cracow,Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"AGH University of Science and Technology, Cracow, Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047804200"],"corresponding_institution_ids":["https://openalex.org/I4210092770"],"apc_list":null,"apc_paid":null,"fwci":0.115,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40427421,"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":"234","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9962999820709229,"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":0.9962999820709229,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9900000095367432,"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/T11106","display_name":"Data Management and Algorithms","score":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.836861789226532},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8235505819320679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7621377110481262},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6313068866729736},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6272100806236267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6174545288085938},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5843448042869568},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5730506181716919},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5049110054969788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.433917760848999},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42161718010902405},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14304021000862122},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.06329560279846191},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06260818243026733}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.836861789226532},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8235505819320679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621377110481262},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6313068866729736},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6272100806236267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6174545288085938},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5843448042869568},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5730506181716919},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5049110054969788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.433917760848999},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42161718010902405},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14304021000862122},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.06329560279846191},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06260818243026733},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmar58394.2023.10242489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar58394.2023.10242489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 27th International Conference on Methods and Models in Automation and Robotics (MMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W54887220","https://openalex.org/W1673310716","https://openalex.org/W1921093919","https://openalex.org/W1987971958","https://openalex.org/W2006255103","https://openalex.org/W2049633694","https://openalex.org/W2051224630","https://openalex.org/W2067191022","https://openalex.org/W2073459066","https://openalex.org/W2095897464","https://openalex.org/W2101234009","https://openalex.org/W2115579991","https://openalex.org/W2121947440","https://openalex.org/W2142838865","https://openalex.org/W2150066425","https://openalex.org/W2160642098","https://openalex.org/W2165232124","https://openalex.org/W2167222293","https://openalex.org/W2610185579","https://openalex.org/W2905550536","https://openalex.org/W2999905431","https://openalex.org/W3005792122","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W3128284943","https://openalex.org/W3174654838","https://openalex.org/W4205521185","https://openalex.org/W4235169531","https://openalex.org/W4242401062","https://openalex.org/W4251348903","https://openalex.org/W4283761305","https://openalex.org/W4297797305","https://openalex.org/W6637131181","https://openalex.org/W6668990524","https://openalex.org/W6675354045","https://openalex.org/W6736906035","https://openalex.org/W6759797329","https://openalex.org/W6783978963","https://openalex.org/W6797589674","https://openalex.org/W6839990677","https://openalex.org/W6960192163"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2765894405","https://openalex.org/W1884735063","https://openalex.org/W2372668238","https://openalex.org/W2560421750","https://openalex.org/W645600747"],"abstract_inverted_index":{"Large":[0],"datasets":[1,85],"used":[2,88],"in":[3,53,89],"automotive":[4,91],"consist":[5],"of":[6,9,33,41,48,58],"a":[7,65],"set":[8],"recorded":[10],"sequences":[11,63],"that":[12,86],"represent":[13],"possible":[14,49],"road":[15,50],"scenarios.":[16],"Such":[17],"scenarios":[18,24,51],"are":[19,87],"mainly":[20],"utilized":[21],"as":[22],"test":[23],"to":[25,93],"verify":[26],"developed":[27],"driver":[28],"assistance":[29],"systems.":[30],"Another":[31],"application":[32],"the":[34,37,46,56,90,103],"dataset":[35],"is":[36,64,100],"training":[38],"and":[39,61,67],"verification":[40],"machine":[42],"learning-based":[43],"algorithms.":[44,97],"As":[45],"number":[47],"is,":[52],"fact,":[54],"infinite,":[55],"process":[57],"selecting":[59],"representative":[60,107],"meaningful":[62],"difficult":[66],"challenging":[68],"task.":[69],"This":[70],"article":[71],"presents":[72],"an":[73],"approach":[74,99],"based":[75],"on":[76,106],"various":[77],"clustering":[78],"techniques":[79],"for":[80,83],"data":[81],"reduction":[82],"large":[84],"industry":[92],"evaluate":[94],"environmental":[95],"perception":[96],"The":[98],"supported":[101],"by":[102],"results":[104],"obtained":[105],"datasets.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}