{"id":"https://openalex.org/W3010778817","doi":"https://doi.org/10.1145/3377049.3377076","title":"A Deep Convolutional Neural Network Based Small Scale Test-bed for Autonomous Car","display_name":"A Deep Convolutional Neural Network Based Small Scale Test-bed for Autonomous Car","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W3010778817","doi":"https://doi.org/10.1145/3377049.3377076","mag":"3010778817"},"language":"en","primary_location":{"id":"doi:10.1145/3377049.3377076","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","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/A5087398578","display_name":"Arik Intisar","orcid":null},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Arik Intisar","raw_affiliation_strings":["Department of Computer Science & Engineering, Rajshahi University of Engineering and Technology (RUET), Rajshahi, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Rajshahi University of Engineering and Technology (RUET), Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021954487","display_name":"Md Khaled Ben Islam","orcid":"https://orcid.org/0000-0003-4841-9604"},"institutions":[{"id":"https://openalex.org/I260446899","display_name":"Pabna University of Science and Technology","ror":"https://ror.org/01vxg3438","country_code":"BD","type":"education","lineage":["https://openalex.org/I260446899"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Khaled Ben Islam","raw_affiliation_strings":["Department of Computer Science & Engineering, Pabna University of Science & Technology, Pabna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Pabna University of Science & Technology, Pabna, Bangladesh","institution_ids":["https://openalex.org/I260446899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072913452","display_name":"Julia Rahman","orcid":"https://orcid.org/0000-0001-5005-9922"},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Julia Rahman","raw_affiliation_strings":["Department of Computer Science & Engineering, Rajshahi University of Engineering and Technology (RUET), Rajshahi, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Rajshahi University of Engineering and Technology (RUET), Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087398578"],"corresponding_institution_ids":["https://openalex.org/I17477748"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4691302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9939000010490417,"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":0.9939000010490417,"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":0.9939000010490417,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7338869571685791},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7139131426811218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6569005250930786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5634447932243347},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.558929443359375},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.547149121761322},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5446817278862},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4882340729236603},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48587220907211304},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4715685248374939},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3972383141517639},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3893585801124573},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3291153907775879},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08469980955123901}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7338869571685791},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7139131426811218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6569005250930786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5634447932243347},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.558929443359375},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.547149121761322},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5446817278862},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4882340729236603},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48587220907211304},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4715685248374939},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3972383141517639},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3893585801124573},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3291153907775879},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08469980955123901},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377049.3377076","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2167224731","https://openalex.org/W2179627548","https://openalex.org/W2606722458","https://openalex.org/W2609212174","https://openalex.org/W2623885517","https://openalex.org/W2890672057","https://openalex.org/W2940148513","https://openalex.org/W4237543369","https://openalex.org/W4240299542","https://openalex.org/W4251311177"],"related_works":["https://openalex.org/W2953205341","https://openalex.org/W235065745","https://openalex.org/W2029935773","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W2964954556","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0],"deep":[1,67],"end-to-end":[2],"learning":[3,76,137],"based":[4,127],"autonomous":[5,42,86],"car":[6,53,73,87],"design,":[7],"inferencing":[8],"the":[9,17,51,119],"signal":[10],"by":[11],"trained":[12],"model":[13,77],"is":[14,54,83,132],"one":[15],"of":[16,23],"critical":[18,41],"issues,":[19],"particularly,":[20],"in":[21,38],"case":[22],"embedded":[24],"component.":[25],"Researchers":[26],"from":[27,79],"both":[28],"academia":[29],"and":[30,46,56,88,104],"industry":[31],"have":[32,61,113],"been":[33],"putting":[34],"their":[35],"enormous":[36],"efforts":[37],"making":[39],"this":[40],"driving":[43],"more":[44],"reliable":[45],"safer.":[47],"As":[48],"research":[49],"on":[50,128],"real":[52,85],"costly":[55],"poses":[57],"safety":[58],"issue,":[59],"we":[60],"developed":[62],"a":[63,84],"small":[64,91],"scale,":[65],"low-cost,":[66],"convolutional":[68],"neural":[69,98],"network":[70],"powered":[71],"self-driving":[72],"model.":[74,138],"Its":[75],"adopted":[78],"NVIDIA's":[80],"DAVE-2":[81],"which":[82,131],"Kansas":[89],"University's":[90],"scale":[92],"DeepPicar.":[93],"Similar":[94],"to":[95,134],"DAVE-2,":[96],"its":[97],"architecture":[99,130],"uses":[100],"5":[101],"convolution":[102],"layer":[103],"3":[105],"fully":[106],"connected":[107],"layers":[108],"with":[109,122],"250,000":[110],"parameters.":[111],"We":[112],"considered":[114],"Raspberry":[115],"Pi":[116],"3B+":[117],"as":[118],"processing":[120],"platform":[121],"Quad-core":[123],"1.4":[124],"GHz":[125],"CPU":[126],"A53":[129],"capable":[133],"support":[135],"CNN":[136]},"counts_by_year":[{"year":2023,"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"}