{"id":"https://openalex.org/W2888457244","doi":"https://doi.org/10.1109/saci.2018.8440968","title":"Two-Stage Racetrack Segmentation Method Using Color Feature Filtering and Superpixel-Based Convolutional Neural Network","display_name":"Two-Stage Racetrack Segmentation Method Using Color Feature Filtering and Superpixel-Based Convolutional Neural Network","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2888457244","doi":"https://doi.org/10.1109/saci.2018.8440968","mag":"2888457244"},"language":"en","primary_location":{"id":"doi:10.1109/saci.2018.8440968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2018.8440968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046996372","display_name":"J\u00e1nos Holl\u00f3si","orcid":null},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Janos Hollosi","raw_affiliation_strings":["Department of Information Technology, Szechenyi Istv\u00e1n University, Gy\u00f6r, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Szechenyi Istv\u00e1n University, Gy\u00f6r, Hungary","institution_ids":["https://openalex.org/I83579964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067680091","display_name":"Ern\u0151 Horv\u00e1th","orcid":"https://orcid.org/0000-0001-5083-2073"},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Erno Horvath","raw_affiliation_strings":["Department of Information Technology, Szechenyi Istv\u00e1n University, Gy\u00f6r, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Szechenyi Istv\u00e1n University, Gy\u00f6r, Hungary","institution_ids":["https://openalex.org/I83579964"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018819884","display_name":"Claudiu Pozna","orcid":"https://orcid.org/0000-0002-0790-9343"},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Claudiu Radu Pozna","raw_affiliation_strings":["Department of Automation, Transilvania University of Brasov, Brasov, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Transilvania University of Brasov, Brasov, Romania","institution_ids":["https://openalex.org/I3123573182"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08287476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"000131","last_page":"000136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.989799976348877,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7171179056167603},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6833546757698059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6768350005149841},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6418155431747437},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5965306758880615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5196141600608826},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45964479446411133},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4578380584716797},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45308956503868103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33646753430366516},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3085854649543762}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7171179056167603},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6833546757698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6768350005149841},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6418155431747437},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5965306758880615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5196141600608826},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45964479446411133},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4578380584716797},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45308956503868103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33646753430366516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3085854649543762},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci.2018.8440968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2018.8440968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323476","display_name":"Emberi Eroforr\u00e1sok Miniszt\u00e9riuma","ror":"https://ror.org/00rb16m44"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2070708339","https://openalex.org/W2097117768","https://openalex.org/W2106337294","https://openalex.org/W2118246710","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W3102168793","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6785828102"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,21,49,92],"Sz\u00e9chenyi":[1],"Istv\u00e1n":[2],"University":[3],"race":[4],"car":[5],"team":[6],"is":[7,36,52,96],"an":[8,101],"active":[9],"and":[10,88,109,116],"successful":[11],"participant":[12],"of":[13,67,85,113],"the":[14,24,29,39,46,65,68,98,107,114,118,128,131],"Shell":[15,22],"Eco-marathon":[16,30],"for":[17,31,45,79],"long":[18],"time":[19],"ago.":[20],"introduces":[23],"autonomous":[25,47],"vehicle":[26,43],"category":[27],"on":[28,130],"2018.":[32],"Our":[33],"long-term":[34],"goal":[35],"to":[37,53],"make":[38,54],"Szenergy":[40],"racing":[41,69],"team's":[42],"suitable":[44],"category.":[48],"first":[50,99],"milestone":[51],"a":[55,77,83,121],"reliable":[56],"computer":[57],"vision":[58],"based":[59],"intelligent":[60],"detection":[61,81],"system":[62,95],"that":[63],"understands":[64],"environment":[66],"car.":[70],"In":[71],"this":[72],"paper":[73],"we":[74],"will":[75],"present":[76],"solution":[78],"racetrack":[80],"i.e.":[82],"fusion":[84],"image":[86,102],"processing":[87,103],"neural":[89,124],"network":[90,125],"systems.":[91],"two-stage":[93],"recognition":[94],"at":[97,117],"phase":[100],"algorithm":[104],"which":[105,126],"finds":[106],"red-white":[108],"blue-white":[110],"striped":[111],"edge":[112],"road,":[115],"second":[119],"phase,":[120],"pre-trained":[122],"superpixel-based":[123],"recognize":[127],"road":[129],"filtered":[132],"image.":[133]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
