{"id":"https://openalex.org/W3106288477","doi":"https://doi.org/10.1109/crc51253.2020.9253490","title":"Design and Implementation of Driverless Perceptual System Based on CPU + FPGA","display_name":"Design and Implementation of Driverless Perceptual System Based on CPU + FPGA","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3106288477","doi":"https://doi.org/10.1109/crc51253.2020.9253490","mag":"3106288477"},"language":"en","primary_location":{"id":"doi:10.1109/crc51253.2020.9253490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5100935676","display_name":"Zhifang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhifang Yang","raw_affiliation_strings":["School of Electrical Information, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Information, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101708862","display_name":"Lei Yan","orcid":"https://orcid.org/0000-0002-2191-5096"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yan","raw_affiliation_strings":["School of Electrical Information, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Information, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086996018","display_name":"Jiakai Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiakai Yuan","raw_affiliation_strings":["School of Electrical Information, Wuhan Institute of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Information, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100935676"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":null,"apc_paid":null,"fwci":0.2013,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55587245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"47","issue":null,"first_page":"261","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"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":0.9991000294685364,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9959999918937683,"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8306659460067749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6792827844619751},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5607349276542664},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5026156902313232},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.39375126361846924},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07138890027999878}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8306659460067749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6792827844619751},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5607349276542664},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5026156902313232},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.39375126361846924},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07138890027999878},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc51253.2020.9253490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2056525244","https://openalex.org/W2102049273","https://openalex.org/W2102605133","https://openalex.org/W2150066425","https://openalex.org/W2340897893","https://openalex.org/W2613718673","https://openalex.org/W2781228439","https://openalex.org/W2791763440","https://openalex.org/W2798785261","https://openalex.org/W2953106684","https://openalex.org/W2962837118","https://openalex.org/W2963292632","https://openalex.org/W6620707391","https://openalex.org/W6631782140"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2111241003","https://openalex.org/W2390279801","https://openalex.org/W4200391368","https://openalex.org/W2358668433","https://openalex.org/W2355315220","https://openalex.org/W2096844293","https://openalex.org/W2363944576","https://openalex.org/W2351041855","https://openalex.org/W2570254841"],"abstract_inverted_index":{"Nowadays,":[0],"autonomous":[1,23],"driving":[2],"is":[3,11,108,166],"one":[4],"of":[5,15,21,35,46,68,76,93],"the":[6,19,44,74,87,94,102,111,118,131,142,144,149,156,163],"most":[7],"popular":[8],"technologies":[9],"and":[10,30,55,79,116,124,135,140,153,162],"in":[12,158],"a":[13,49,65],"stage":[14],"rapid":[16],"development.":[17],"In":[18,41],"process":[20],"working,":[22],"vehicles":[24],"need":[25],"to":[26,43,110],"locate,":[27],"perceive,":[28],"predict":[29],"plan.":[31],"The":[32,70,83],"enormous":[33],"amount":[34],"calculation":[36],"results":[37,146],"high":[38,50,56],"energy":[39],"consumption.":[40],"response":[42],"characteristics":[45],"unmanned":[47,58],"driving,":[48],"performance,":[51],"low":[52],"power":[53,164],"consumption":[54,165],"flexibility":[57],"visual":[59],"perception":[60],"system":[61,84,150],"was":[62],"developed":[63],"using":[64],"heterogeneous":[66,71],"platform":[67,72],"CPU+FPGA.":[69],"has":[73],"advantages":[75],"parallel":[77],"processing":[78],"field":[80],"programmable,":[81],"etc.":[82],"can":[85,151],"improve":[86],"YOLOv3(You":[88],"Only":[89],"Look":[90],"Once)":[91],"algorithm":[92,107,114],"deep":[95],"neural":[96],"network":[97],"for":[98],"target":[99,119,157],"detection":[100,120,122,126],"recognition,":[101],"Soft-NMS":[103],"(Non":[104],"maximum":[105],"suppression)":[106],"added":[109],"original":[112],"YOLOv3":[113],"framework,":[115],"then":[117],"false":[121],"rate":[123,127],"missed":[125],"are":[128],"minimized":[129],"through":[130],"frame":[132],"regression":[133],"operation,":[134],"finally":[136],"we":[137],"train":[138],"data":[139],"test":[141],"network.":[143],"experimental":[145],"show":[147],"that":[148],"quickly":[152],"accurately":[154],"identify":[155],"different":[159],"complex":[160],"scenes,":[161],"low.":[167]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}