{"id":"https://openalex.org/W4382562091","doi":"https://doi.org/10.23919/mipro57284.2023.10159934","title":"Effects of Applying Identified Road Lane Lines on Vehicle Autopilot Model Driving Performance","display_name":"Effects of Applying Identified Road Lane Lines on Vehicle Autopilot Model Driving Performance","publication_year":2023,"publication_date":"2023-05-22","ids":{"openalex":"https://openalex.org/W4382562091","doi":"https://doi.org/10.23919/mipro57284.2023.10159934"},"language":"en","primary_location":{"id":"doi:10.23919/mipro57284.2023.10159934","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/mipro57284.2023.10159934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 46th MIPRO ICT and Electronics Convention (MIPRO)","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/A5034003549","display_name":"Vjekoslav Dikli\u0107","orcid":"https://orcid.org/0009-0006-0439-4897"},"institutions":[{"id":"https://openalex.org/I4210142167","display_name":"DigitalSpace (United States)","ror":"https://ror.org/04h1th525","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142167"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vjekoslav Dikli\u0107","raw_affiliation_strings":["dSPACE Engineering d.o.o,Zagreb,Croatia","dSPACE Engineering d.o.o, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"dSPACE Engineering d.o.o,Zagreb,Croatia","institution_ids":["https://openalex.org/I4210142167"]},{"raw_affiliation_string":"dSPACE Engineering d.o.o, Zagreb, Croatia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026705462","display_name":"Franjo Matkovi\u0107","orcid":"https://orcid.org/0000-0002-8263-6592"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Franjo Matkovi\u0107","raw_affiliation_strings":["Fakultet elektrotehnike i računarstva,Zagreb,Croatia"],"affiliations":[{"raw_affiliation_string":"Fakultet elektrotehnike i računarstva,Zagreb,Croatia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092360036","display_name":"Kre\u0161imir Pardon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142167","display_name":"DigitalSpace (United States)","ror":"https://ror.org/04h1th525","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142167"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kre\u0161imir Pardon","raw_affiliation_strings":["dSPACE Engineering d.o.o,Zagreb,Croatia","dSPACE Engineering d.o.o, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"dSPACE Engineering d.o.o,Zagreb,Croatia","institution_ids":["https://openalex.org/I4210142167"]},{"raw_affiliation_string":"dSPACE Engineering d.o.o, Zagreb, Croatia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034003549"],"corresponding_institution_ids":["https://openalex.org/I4210142167"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06930791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1057","last_page":"1062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9843000173568726,"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/T12810","display_name":"Real-time simulation and control systems","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/autopilot","display_name":"Autopilot","score":0.9678829908370972},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5891574025154114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5723673105239868},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.5700613856315613},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5479294657707214},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.48747897148132324},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.4508098363876343},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.44395801424980164},{"id":"https://openalex.org/keywords/guidance-system","display_name":"Guidance system","score":0.43191665410995483},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36381465196609497},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3103652596473694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2704416513442993},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.1933547854423523},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.08354336023330688}],"concepts":[{"id":"https://openalex.org/C18020424","wikidata":"https://www.wikidata.org/wiki/Q220858","display_name":"Autopilot","level":2,"score":0.9678829908370972},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5891574025154114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5723673105239868},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.5700613856315613},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5479294657707214},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.48747897148132324},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4508098363876343},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.44395801424980164},{"id":"https://openalex.org/C201004817","wikidata":"https://www.wikidata.org/wiki/Q1707071","display_name":"Guidance system","level":2,"score":0.43191665410995483},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36381465196609497},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3103652596473694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2704416513442993},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.1933547854423523},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.08354336023330688},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mipro57284.2023.10159934","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/mipro57284.2023.10159934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 46th MIPRO ICT and Electronics Convention (MIPRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2342840547","https://openalex.org/W2780740184","https://openalex.org/W3203848864","https://openalex.org/W3206265485","https://openalex.org/W4221143432","https://openalex.org/W4283076523","https://openalex.org/W4288804588","https://openalex.org/W4292347911","https://openalex.org/W4300172425","https://openalex.org/W4304080156","https://openalex.org/W4304172553","https://openalex.org/W4307769109","https://openalex.org/W4312770781","https://openalex.org/W4383097507","https://openalex.org/W6704559304","https://openalex.org/W6737454590"],"related_works":["https://openalex.org/W2528333064","https://openalex.org/W2357122534","https://openalex.org/W2148668825","https://openalex.org/W2159456118","https://openalex.org/W4287557383","https://openalex.org/W2268481623","https://openalex.org/W2169677720","https://openalex.org/W2350405024","https://openalex.org/W3112224989","https://openalex.org/W2366123023"],"abstract_inverted_index":{"Autonomous":[0],"Vehicle":[1,105],"driving":[2,19,74,107,128,137,173,177],"is":[3,21,76,109,157],"one":[4],"of":[5,36,56,64,79],"the":[6,12,57,62,77],"most":[7],"actively":[8],"developed":[9],"systems":[10],"in":[11,126],"automotive":[13],"industry.":[14],"Producing":[15],"a":[16,22,41,150],"reliable":[17],"autonomous":[18,172],"system":[20,178],"complex":[23],"multistage":[24],"problem.":[25],"The":[26,82,144],"road":[27],"lane":[28,66,83,100,145],"lines":[29,84,101],"are":[30,47,85,122],"traffic":[31],"signs":[32],"with":[33,97,159],"high":[34],"level":[35],"semantics":[37],"that":[38,90],"determine":[39,166],"how":[40],"vehicle":[42,72],"should":[43],"move,":[44],"what":[45],"actions":[46],"allowed":[48],"to":[49,165,170],"be":[50],"performed,":[51],"etc.":[52],"Comparing":[53],"different":[54],"modifications":[55],"PilotNet":[58],"neural":[59,88,152],"network":[60,89,153],"model,":[61],"usage":[63],"detected":[65],"lines,":[67],"and":[68,124,129,135,141,162,175],"their":[69],"implications":[70],"on":[71,115],"autopilot":[73,106,112],"performance":[75,108,174],"topic":[78],"this":[80],"paper.":[81],"identified":[86],"by":[87,94,149],"has":[91],"been":[92],"trained":[93],"processing":[95],"images":[96],"previously":[98],"marked":[99],"from":[102,155],"CULane":[103],"dataset.":[104],"analyzed":[110,123],"using":[111],"model":[113,154],"running":[114],"Euro":[116],"Truck":[117],"Simulator":[118],"2.":[119],"Proposed":[120],"models":[121],"compared":[125,158],"multiple":[127],"weather":[130],"environments":[131],"including":[132],"highway,":[133],"off-road":[134],"urban":[136],"during":[138],"day,":[139],"night":[140],"rain":[142],"conditions.":[143],"line":[146],"recognition":[147],"(classified":[148],"U-Net":[151],"images)":[156],"additional":[160],"control":[161],"path":[163],"planning":[164],"whether":[167],"it":[168],"leads":[169],"better":[171],"smaller":[176],"model.":[179]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}