{"id":"https://openalex.org/W3108052252","doi":"https://doi.org/10.1145/3384419.3430464","title":"A method for detecting street parking using dashboard camera videos on an edge device","display_name":"A method for detecting street parking using dashboard camera videos on an edge device","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3108052252","doi":"https://doi.org/10.1145/3384419.3430464","mag":"3108052252"},"language":"en","primary_location":{"id":"doi:10.1145/3384419.3430464","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384419.3430464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Conference on Embedded Networked Sensor Systems","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/A5026905152","display_name":"Akihiro MATSUDA","orcid":"https://orcid.org/0009-0006-6884-0489"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akihiro Matsuda","raw_affiliation_strings":["Nara Institute of Science and Technology, Ikoma, Nara"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma, Nara","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027042061","display_name":"Tomokazu Matsui","orcid":"https://orcid.org/0000-0002-9144-2407"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomokazu Matsui","raw_affiliation_strings":["Nara Institute of Science and Technology, Ikoma, Nara"],"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma, Nara","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011128904","display_name":"Yuki Matsuda","orcid":"https://orcid.org/0000-0002-3135-4915"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Matsuda","raw_affiliation_strings":["Riken Center for Advanced Intelligence Projects (AIP), Chuou, Tokyo"],"affiliations":[{"raw_affiliation_string":"Riken Center for Advanced Intelligence Projects (AIP), Chuou, Tokyo","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005700675","display_name":"Hirohiko Suwa","orcid":"https://orcid.org/0000-0002-8519-3352"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirohiko Suwa","raw_affiliation_strings":["Riken Center for Advanced Intelligence Projects (AIP), Chuou, Tokyo"],"affiliations":[{"raw_affiliation_string":"Riken Center for Advanced Intelligence Projects (AIP), Chuou, Tokyo","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019740585","display_name":"Keiichi Yasumoto","orcid":"https://orcid.org/0000-0003-1579-3237"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichi Yasumoto","raw_affiliation_strings":["Riken Center for Advanced Intelligence Projects (AIP), Chuou, Tokyo"],"affiliations":[{"raw_affiliation_string":"Riken Center for Advanced Intelligence Projects (AIP), Chuou, Tokyo","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026905152"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16843538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"585","last_page":"586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12546","display_name":"Smart Parking Systems Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9983000159263611,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/dashboard","display_name":"Dashboard","score":0.9098150730133057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6861018538475037},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6022436618804932},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4954780340194702},{"id":"https://openalex.org/keywords/parking-guidance-and-information","display_name":"Parking guidance and information","score":0.43494361639022827},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4151368737220764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39970776438713074},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37644562125205994},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.28746652603149414},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20148420333862305},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09105968475341797}],"concepts":[{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.9098150730133057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6861018538475037},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6022436618804932},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4954780340194702},{"id":"https://openalex.org/C14353550","wikidata":"https://www.wikidata.org/wiki/Q386125","display_name":"Parking guidance and information","level":2,"score":0.43494361639022827},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4151368737220764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39970776438713074},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37644562125205994},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.28746652603149414},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20148420333862305},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09105968475341797},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1145/3384419.3430464","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3384419.3430464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2292658742","https://openalex.org/W2660006607","https://openalex.org/W3104355964"],"related_works":["https://openalex.org/W2607236244","https://openalex.org/W2382083831","https://openalex.org/W4239369595","https://openalex.org/W2169792944","https://openalex.org/W3048913176","https://openalex.org/W4386891374","https://openalex.org/W4292603292","https://openalex.org/W2048767857","https://openalex.org/W2808637346","https://openalex.org/W2947439131"],"abstract_inverted_index":{"Street":[0],"parking":[1,20,35,72],"in":[2,11,73],"prohibited":[3],"areas":[4],"has":[5,36,54],"become":[6],"a":[7,55,67,76,120,126],"social":[8],"problem,":[9],"especially":[10],"urban":[12],"and":[13,25,59,114,118,128],"tourist":[14],"areas.":[15],"In":[16,62],"addition,":[17],"because":[18],"street":[19,34,71],"can":[21],"cause":[22],"traffic":[23],"congestion":[24],"accidents,":[26],"real-time":[27,74],"detection":[28,32,57],"is":[29],"required.":[30],"The":[31,87],"of":[33,43,45],"been":[37],"previously":[38],"implemented":[39],"on":[40,95],"the":[41,104,132],"basis":[42],"comparisons":[44],"videos":[46],"recorded":[47],"by":[48,79,92,124],"fixed-point":[49],"cameras.":[50],"However,":[51],"this":[52,63],"approach":[53],"limited":[56],"area":[58],"low":[60],"accuracy.":[61],"demonstration,":[64],"we":[65],"present":[66],"system":[68],"that":[69],"recognizes":[70],"using":[75],"model":[77,89],"trained":[78,88],"dashboard":[80,99,121],"camera":[81,100,122,127],"videos,":[82],"which":[83],"are":[84],"widely":[85],"used.":[86],"was":[90],"constructed":[91],"collecting":[93],"data":[94],"1,765":[96],"vehicles":[97],"from":[98],"videos.":[101],"We":[102,116],"use":[103],"Jetson":[105,133],"TX2":[106],"as":[107],"an":[108],"edge":[109],"device":[110,123],"for":[111],"vehicle":[112],"recognition":[113],"processing.":[115],"create":[117],"demonstrate":[119],"attaching":[125],"sensor":[129],"module":[130],"to":[131],"TX2.":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}