{"id":"https://openalex.org/W4283169779","doi":"https://doi.org/10.3390/systems10030083","title":"Deep-Learning-Based Floor Path Model for Route Tracking of Autonomous Vehicles","display_name":"Deep-Learning-Based Floor Path Model for Route Tracking of Autonomous Vehicles","publication_year":2022,"publication_date":"2022-06-15","ids":{"openalex":"https://openalex.org/W4283169779","doi":"https://doi.org/10.3390/systems10030083"},"language":"en","primary_location":{"id":"doi:10.3390/systems10030083","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems10030083","pdf_url":"https://www.mdpi.com/2079-8954/10/3/83/pdf?version=1655280998","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-8954/10/3/83/pdf?version=1655280998","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030652833","display_name":"Mustafa Erginli","orcid":"https://orcid.org/0000-0003-0931-6119"},"institutions":[{"id":"https://openalex.org/I103703290","display_name":"Sakarya University","ror":"https://ror.org/04ttnw109","country_code":"TR","type":"education","lineage":["https://openalex.org/I103703290"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa Erginli","raw_affiliation_strings":["Department of Industrial Engineering, Sakarya University, Sakarya 54050, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-0931-6119","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sakarya University, Sakarya 54050, Turkey","institution_ids":["https://openalex.org/I103703290"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075801361","display_name":"\u0130brahim \u00c7il","orcid":"https://orcid.org/0000-0002-1290-3704"},"institutions":[{"id":"https://openalex.org/I103703290","display_name":"Sakarya University","ror":"https://ror.org/04ttnw109","country_code":"TR","type":"education","lineage":["https://openalex.org/I103703290"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ibrahim Cil","raw_affiliation_strings":["Department of Industrial Engineering, Sakarya University, Sakarya 54050, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-1290-3704","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sakarya University, Sakarya 54050, Turkey","institution_ids":["https://openalex.org/I103703290"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075801361"],"corresponding_institution_ids":["https://openalex.org/I103703290"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.2351,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48694304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"10","issue":"3","first_page":"83","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986000061035156,"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":0.9986000061035156,"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/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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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":0.6516056060791016},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5844113230705261},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5587220191955566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5247233510017395},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.491789847612381},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.48780420422554016},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.45851632952690125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3851359486579895},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3509454131126404},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18078672885894775},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.11304384469985962},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.08883973956108093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516056060791016},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5844113230705261},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5587220191955566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5247233510017395},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.491789847612381},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.48780420422554016},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.45851632952690125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3851359486579895},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3509454131126404},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18078672885894775},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.11304384469985962},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.08883973956108093},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/systems10030083","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems10030083","pdf_url":"https://www.mdpi.com/2079-8954/10/3/83/pdf?version=1655280998","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},{"id":"pmh:oai:acikerisim.sakarya.edu.tr:20.500.12619/99737","is_oa":false,"landing_page_url":"http://doi.org/10.3390/systems10030083","pdf_url":null,"source":{"id":"https://openalex.org/S7407055276","display_name":"Sakarya \u00dcniversitesi Kurumsal A\u00e7\u0131k Akademik Ar\u015fivi","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:27ccd1fc0a2b47bf97845f7628bad7a6","is_oa":true,"landing_page_url":"https://doaj.org/article/27ccd1fc0a2b47bf97845f7628bad7a6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems, Vol 10, Iss 3, p 83 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2079-8954/10/3/83/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/systems10030083","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems; Volume 10; Issue 3; Pages: 83","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/systems10030083","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems10030083","pdf_url":"https://www.mdpi.com/2079-8954/10/3/83/pdf?version=1655280998","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4283169779.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1976332819","https://openalex.org/W2122901941","https://openalex.org/W2145023731","https://openalex.org/W2163605009","https://openalex.org/W2395579298","https://openalex.org/W2426532714","https://openalex.org/W2567320498","https://openalex.org/W2593272389","https://openalex.org/W2595919262","https://openalex.org/W2610166850","https://openalex.org/W2748808009","https://openalex.org/W2754580451","https://openalex.org/W2757003988","https://openalex.org/W2758375579","https://openalex.org/W2770456481","https://openalex.org/W2789720663","https://openalex.org/W2790799255","https://openalex.org/W2809617428","https://openalex.org/W2884687836","https://openalex.org/W2885108378","https://openalex.org/W2895506337","https://openalex.org/W2896677035","https://openalex.org/W2897605555","https://openalex.org/W2903370681","https://openalex.org/W2908912254","https://openalex.org/W2963110888","https://openalex.org/W2983842769","https://openalex.org/W2995318570","https://openalex.org/W3000714535","https://openalex.org/W3015313059","https://openalex.org/W3021673619","https://openalex.org/W3096574182","https://openalex.org/W3115476618","https://openalex.org/W3116104570","https://openalex.org/W3117356940","https://openalex.org/W3119312272","https://openalex.org/W4210679642","https://openalex.org/W4224047923","https://openalex.org/W6809820657"],"related_works":["https://openalex.org/W2394134009","https://openalex.org/W1971984615","https://openalex.org/W2046099857","https://openalex.org/W2806679586","https://openalex.org/W4315836311","https://openalex.org/W2393252924","https://openalex.org/W2787600244","https://openalex.org/W2186532442","https://openalex.org/W2354867839","https://openalex.org/W2095056275"],"abstract_inverted_index":{"Real-time":[0],"route":[1,35,46,66,77,148,171,214,232],"tracking":[2,21,47,233],"is":[3,51,105],"an":[4],"important":[5],"research":[6],"topic":[7],"for":[8,45,63],"autonomous":[9,49,108,198],"vehicles":[10,50,72,109,199,211,236],"used":[11,33],"in":[12,34,90],"industrial":[13],"facilities.":[14],"Traditional":[15],"methods":[16],"such":[17],"as":[18,110],"copper":[19],"line":[20],"on":[22,145,168,185,212],"the":[23,75,80,91,120,125,140,146,162,166,169,173,175,182,186,190,195,205,213,224,231,235],"ground,":[24],"wireless":[25],"guidance":[26],"systems,":[27],"and":[28,58,73,138,154,165],"laser":[29],"systems":[30],"are":[31,95,149,172],"still":[32],"tracking.":[36],"In":[37],"this":[38,136,201,208],"study,":[39],"a":[40,111,114,157,218,221],"deep-learning-based":[41],"floor":[42,55,83,92,102],"path":[43,56,84,93,103],"model":[44,57,85,94,104],"of":[48,71,87,207,223,234],"proposed.":[52],"A":[53],"deep-learning":[54],"algorithm":[59],"have":[60,228],"been":[61,238],"developed":[62],"highly":[64],"accurate":[65],"tracking,":[67],"which":[68],"avoids":[69],"collisions":[70],"follows":[74],"shortest":[76,141],"to":[78,107,124,127,135,194,203,216],"reach":[79],"destination.":[81,180],"The":[82,101,117,129],"consists":[86],"markers.":[88,100],"Routes":[89],"created":[96],"by":[97,113],"using":[98,151],"these":[99],"transmitted":[106],"vector":[112],"central":[115],"server.":[116,196],"server":[118],"dispatches":[119],"target":[121],"marker":[122,193,202],"address":[123,137],"vehicle":[126,130,176,183],"move.":[128],"calculates":[131],"all":[132],"possible":[133],"routes":[134],"chooses":[139],"one.":[142],"Marker":[143],"images":[144],"selected":[147,170],"processed":[150],"image":[152,164,167],"processing":[153],"classified":[155,163,192],"with":[156],"pre-trained":[158],"deep-CNN":[159],"model.":[160],"If":[161],"same,":[174],"proceeds":[177],"toward":[178],"its":[179],"While":[181],"moves":[184],"route,":[187],"it":[188],"sends":[189],"last":[191],"Other":[197,210],"use":[200],"determine":[204],"location":[206],"vehicle.":[209],"wait":[215],"avoid":[217],"collision.":[219],"As":[220],"result":[222],"experimental":[225],"studies":[226],"we":[227],"carried":[229],"out,":[230],"has":[237],"successfully":[239],"achieved.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2022-06-21T00:00:00"}