{"id":"https://openalex.org/W4239616795","doi":"https://doi.org/10.1109/iccad.2017.8203793","title":"An open benchmark implementation for multi-CPU multi-GPU pedestrian detection in automotive systems","display_name":"An open benchmark implementation for multi-CPU multi-GPU pedestrian detection in automotive systems","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W4239616795","doi":"https://doi.org/10.1109/iccad.2017.8203793"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2017.8203793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2017.8203793","pdf_url":null,"source":{"id":"https://openalex.org/S4363608376","display_name":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2117/115853","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035717282","display_name":"Matina Maria Trompouki","orcid":"https://orcid.org/0000-0002-8313-7357"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Matina Maria Trompouki","raw_affiliation_strings":["Universitat Polit\u00e8cnica de Catalunya"],"affiliations":[{"raw_affiliation_string":"Universitat Polit\u00e8cnica de Catalunya","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012406621","display_name":"Leonidas Kosmidis","orcid":"https://orcid.org/0000-0001-9751-1058"},"institutions":[{"id":"https://openalex.org/I2799803557","display_name":"Barcelona Supercomputing Center","ror":"https://ror.org/05sd8tv96","country_code":"ES","type":"facility","lineage":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Leonidas Kosmidis","raw_affiliation_strings":["Barcelona Supercomputing Center (BSC)"],"affiliations":[{"raw_affiliation_string":"Barcelona Supercomputing Center (BSC)","institution_ids":["https://openalex.org/I9617848","https://openalex.org/I2799803557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113528111","display_name":"Nacho Navarro","orcid":null},"institutions":[{"id":"https://openalex.org/I2799803557","display_name":"Barcelona Supercomputing Center","ror":"https://ror.org/05sd8tv96","country_code":"ES","type":"facility","lineage":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nacho Navarro","raw_affiliation_strings":["Barcelona Supercomputing Center (BSC)","Universitat Polit\u00e8cnica de Catalunya"],"affiliations":[{"raw_affiliation_string":"Barcelona Supercomputing Center (BSC)","institution_ids":["https://openalex.org/I9617848","https://openalex.org/I2799803557"]},{"raw_affiliation_string":"Universitat Polit\u00e8cnica de Catalunya","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035717282"],"corresponding_institution_ids":["https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":0.3934,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74869414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980999827384949,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.8099108934402466},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.7086677551269531},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6753137111663818},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6681115627288818},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6568266153335571},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6449478268623352},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.641606330871582},{"id":"https://openalex.org/keywords/multiprocessing","display_name":"Multiprocessing","score":0.5421709418296814},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.5064269304275513},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.49021202325820923},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.48318758606910706},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4541834890842438},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4437517821788788},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.09614542126655579},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0807778537273407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8099108934402466},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.7086677551269531},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6753137111663818},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6681115627288818},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6568266153335571},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6449478268623352},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.641606330871582},{"id":"https://openalex.org/C4822641","wikidata":"https://www.wikidata.org/wiki/Q846651","display_name":"Multiprocessing","level":2,"score":0.5421709418296814},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.5064269304275513},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.49021202325820923},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.48318758606910706},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4541834890842438},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4437517821788788},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.09614542126655579},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0807778537273407},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccad.2017.8203793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2017.8203793","pdf_url":null,"source":{"id":"https://openalex.org/S4363608376","display_name":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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":"2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"},{"id":"pmh:oai:upcommons.upc.edu:2117/115853","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/115853","pdf_url":null,"source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference lecture"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/115853","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/115853","pdf_url":null,"source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference lecture"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G367317414","display_name":null,"funder_award_id":"TIN2015-65316P","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G3810062594","display_name":null,"funder_award_id":"TIN2015-65316","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W220935706","https://openalex.org/W1975336500","https://openalex.org/W2031454541","https://openalex.org/W2077513643","https://openalex.org/W2105827278","https://openalex.org/W2107775979","https://openalex.org/W2142679357","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W3097096317","https://openalex.org/W6643989556"],"related_works":["https://openalex.org/W3062287","https://openalex.org/W2380390332","https://openalex.org/W2742145873","https://openalex.org/W4245975140","https://openalex.org/W2062253548","https://openalex.org/W4225414539","https://openalex.org/W4289522463","https://openalex.org/W1977763331","https://openalex.org/W4318483369","https://openalex.org/W2326041751"],"abstract_inverted_index":{"Modern":[0],"and":[1,25,30,42,87,111],"future":[2],"automotive":[3,23,40],"systems":[4,13],"incorporate":[5],"several":[6,53],"Advanced":[7],"Driving":[8],"Assistance":[9],"Systems":[10],"(ADAS).":[11],"Those":[12],"require":[14],"significant":[15],"performance":[16],"that":[17,72],"cannot":[18],"be":[19,74],"provided":[20],"with":[21],"traditional":[22],"processors":[24],"programming":[26],"models.":[27],"Multicore":[28],"CPUs":[29],"Nvidia":[31],"GPUs":[32],"using":[33],"CUDA":[34],"are":[35],"currently":[36],"considered":[37],"by":[38],"both":[39],"industry":[41],"research":[43],"community":[44],"to":[45],"provide":[46],"the":[47,101,128],"necessary":[48],"computational":[49],"power.":[50],"However,":[51],"despite":[52],"recent":[54],"published":[55],"works":[56],"in":[57],"this":[58,81],"domain,":[59],"there":[60],"is":[61],"an":[62,91,123],"absolute":[63],"lack":[64],"of":[65,68,90,94],"open":[66,92],"implementations":[67],"GPU-based":[69],"ADAS":[70],"software,":[71],"can":[73],"used":[75],"for":[76],"benchmarking":[77],"candidate":[78],"platforms.":[79],"In":[80],"work,":[82],"we":[83],"present":[84,107],"a":[85,95,116],"multi-CPU":[86],"GPU":[88],"implementation":[89,93,114],"pedestrian":[96],"detection":[97],"benchmark":[98],"based":[99],"on":[100,115],"Viola-Jones":[102],"image":[103],"recognition":[104],"algorithm.":[105],"We":[106],"our":[108,113],"optimization":[109],"strategies":[110],"evaluate":[112],"multiprocessor":[117],"system":[118],"featuring":[119],"multiple":[120],"GPUs,":[121],"showing":[122],"overall":[124],"88.5\u00d7":[125],"speedup":[126],"over":[127],"sequential":[129],"version.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
