{"id":"https://openalex.org/W2995334503","doi":"https://doi.org/10.1109/tencon.2019.8929357","title":"Automated Parking System in Smart Campus Using Computer Vision Technique","display_name":"Automated Parking System in Smart Campus Using Computer Vision Technique","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995334503","doi":"https://doi.org/10.1109/tencon.2019.8929357","mag":"2995334503"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2019.8929357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","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/A5030926652","display_name":"Sayani Banerjee","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]},{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sayani Banerjee","raw_affiliation_strings":["Department of Information Technology, National Institute of Technology, Surathkal, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, National Institute of Technology, Surathkal, Karnataka, India","institution_ids":["https://openalex.org/I11880225","https://openalex.org/I42014448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076771617","display_name":"T. S. Ashwin","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]},{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T S Ashwin","raw_affiliation_strings":["Department of Information Technology, National Institute of Technology, Surathkal, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, National Institute of Technology, Surathkal, Karnataka, India","institution_ids":["https://openalex.org/I11880225","https://openalex.org/I42014448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007453385","display_name":"Ram Mohana Reddy Guddeti","orcid":"https://orcid.org/0000-0003-1361-3837"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]},{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ram Mohana Reddy Guddeti","raw_affiliation_strings":["Department of Information Technology, National Institute of Technology, Surathkal, Karnataka, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, National Institute of Technology, Surathkal, Karnataka, India","institution_ids":["https://openalex.org/I11880225","https://openalex.org/I42014448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030926652"],"corresponding_institution_ids":["https://openalex.org/I11880225","https://openalex.org/I42014448"],"apc_list":null,"apc_paid":null,"fwci":0.1623,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.57758407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"931","last_page":"935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.7995455265045166},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7633488774299622},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6784546971321106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5330262184143066},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.47858095169067383},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44399142265319824},{"id":"https://openalex.org/keywords/parking-lot","display_name":"Parking lot","score":0.42257073521614075},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4213064908981323},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4187725782394409},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41250357031822205},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.41143763065338135},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39587610960006714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.17181342840194702},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12106698751449585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7995455265045166},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7633488774299622},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6784546971321106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5330262184143066},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.47858095169067383},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44399142265319824},{"id":"https://openalex.org/C2777427512","wikidata":"https://www.wikidata.org/wiki/Q6501349","display_name":"Parking lot","level":2,"score":0.42257073521614075},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4213064908981323},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4187725782394409},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41250357031822205},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.41143763065338135},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39587610960006714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.17181342840194702},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12106698751449585},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2019.8929357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W923593983","https://openalex.org/W1492541562","https://openalex.org/W1960182310","https://openalex.org/W1960289438","https://openalex.org/W2007234579","https://openalex.org/W2010683590","https://openalex.org/W2020394509","https://openalex.org/W2085201020","https://openalex.org/W2102605133","https://openalex.org/W2115579991","https://openalex.org/W2120284346","https://openalex.org/W2120419212","https://openalex.org/W2123099218","https://openalex.org/W2125447566","https://openalex.org/W2130306094","https://openalex.org/W2156547346","https://openalex.org/W2162741153","https://openalex.org/W2163605009","https://openalex.org/W2168373637","https://openalex.org/W2179352600","https://openalex.org/W2392280259","https://openalex.org/W2571975379","https://openalex.org/W2578537594","https://openalex.org/W2600446833","https://openalex.org/W2612445135","https://openalex.org/W2618530766","https://openalex.org/W2735781527","https://openalex.org/W2739321078","https://openalex.org/W2739959530","https://openalex.org/W2769179720","https://openalex.org/W2952677200","https://openalex.org/W2963037989","https://openalex.org/W2963542991","https://openalex.org/W3106250896","https://openalex.org/W4297775537","https://openalex.org/W6652909752","https://openalex.org/W6676338569","https://openalex.org/W6679349572","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2949096641","https://openalex.org/W2969228573","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W2963690996","https://openalex.org/W4254103348"],"abstract_inverted_index":{"In":[0,103],"today's":[1],"world":[2],"we":[3,16,106,130],"need":[4,17],"to":[5,18,33,98,114,134],"maintain":[6],"safety":[7],"and":[8,55,73,75,89,101,136],"security":[9,52],"of":[10,29,149],"the":[11,81,87,116,138,152],"people":[12],"around":[13],"us.":[14],"So":[15],"have":[19,107],"a":[20,67,109],"well":[21],"connected":[22],"surveillance":[23],"system":[24,118],"for":[25,43,70,86,93,151],"keeping":[26],"active":[27],"information":[28],"various":[30],"locations":[31],"according":[32],"our":[34,132],"needs.":[35],"A":[36],"real-time":[37],"object":[38,99],"detection":[39,100],"is":[40,64,77],"very":[41],"important":[42],"many":[44],"applications":[45],"such":[46],"as":[47,66],"traffic":[48],"monitoring,":[49,51],"classroom":[50],"&":[53],"rescue,":[54],"parking":[56,117],"system.":[57],"From":[58],"past":[59],"decade,":[60],"Convolutional":[61],"Neural":[62],"Networks":[63],"evolved":[65],"powerful":[68],"models":[69],"recognizing":[71],"images":[72],"videos":[74],"it":[76],"widely":[78],"used":[79,91],"in":[80,119],"computer":[82,140],"vision":[83,141],"related":[84,97],"work":[85],"best":[88],"most":[90],"approach":[92],"different":[94],"problem":[95],"scenario":[96],"localization.":[102],"this":[104],"work,":[105],"proposed":[108,139],"deep":[110],"convolutional":[111],"network":[112],"architecture":[113],"automate":[115],"smart":[120],"campus":[121],"with":[122],"modified":[123],"Single-shot":[124],"Multibox":[125],"Detector":[126],"(SSD)":[127],"approach.":[128],"Further,":[129],"created":[131,153],"dataset":[133],"train":[135],"test":[137],"technique.":[142],"The":[143],"experimental":[144],"results":[145],"demonstrated":[146],"an":[147],"accuracy":[148],"71.2%":[150],"dataset.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
