{"id":"https://openalex.org/W2909664640","doi":"https://doi.org/10.1109/iros.2018.8594450","title":"Deep Semantic Lane Segmentation for Mapless Driving","display_name":"Deep Semantic Lane Segmentation for Mapless Driving","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2909664640","doi":"https://doi.org/10.1109/iros.2018.8594450","mag":"2909664640"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8594450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5037034220","display_name":"Annika Meyer","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Annika Meyer","raw_affiliation_strings":["FZI Research Center for Information Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110672192","display_name":"N. Ole Salscheider","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"N. Ole Salscheider","raw_affiliation_strings":["FZI Research Center for Information Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045546730","display_name":"Piotr F. Orzechowski","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Piotr F. Orzechowski","raw_affiliation_strings":["FZI Research Center for Information Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091574711","display_name":"Christoph Stiller","orcid":"https://orcid.org/0000-0003-4165-2075"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Stiller","raw_affiliation_strings":["Institute for Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037034220"],"corresponding_institution_ids":["https://openalex.org/I143379178"],"apc_list":null,"apc_paid":null,"fwci":3.9815,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.93632682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"869","last_page":"875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":1.0,"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":1.0,"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":0.9987000226974487,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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":0.7941064834594727},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.707224428653717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.664002001285553},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6616276502609253},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6445304155349731},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5801650881767273},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5789440870285034},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5452883243560791},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46227937936782837},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18616756796836853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941064834594727},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.707224428653717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.664002001285553},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6616276502609253},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6445304155349731},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5801650881767273},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5789440870285034},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5452883243560791},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46227937936782837},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18616756796836853},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2018.8594450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8594450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W33116912","https://openalex.org/W1992490655","https://openalex.org/W2001875386","https://openalex.org/W2010040278","https://openalex.org/W2037333893","https://openalex.org/W2043642041","https://openalex.org/W2051727811","https://openalex.org/W2068079143","https://openalex.org/W2070708339","https://openalex.org/W2073769893","https://openalex.org/W2106337294","https://openalex.org/W2137097255","https://openalex.org/W2147587207","https://openalex.org/W2167222293","https://openalex.org/W2277132981","https://openalex.org/W2340897893","https://openalex.org/W2464204616","https://openalex.org/W2505004417","https://openalex.org/W2516555671","https://openalex.org/W2558580397","https://openalex.org/W2596750703","https://openalex.org/W2763476526","https://openalex.org/W2765382011","https://openalex.org/W2952147788","https://openalex.org/W2963424321","https://openalex.org/W2964199920","https://openalex.org/W6601344910","https://openalex.org/W6726329059"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W2388988621","https://openalex.org/W2357797405","https://openalex.org/W2366623913","https://openalex.org/W2374905595","https://openalex.org/W4388446985","https://openalex.org/W3112772842"],"abstract_inverted_index":{"In":[0,90],"autonomous":[1,88,130],"driving":[2],"systems":[3],"a":[4,22,33,49,53],"strong":[5],"relation":[6],"to":[7,13,27,39,57,92],"highly":[8,101],"accurate":[9,45,102,119],"maps":[10],"is":[11,37],"taken":[12],"be":[14,26,79],"inevitable,":[15],"although":[16],"street":[17],"scenes":[18],"change":[19],"frequently.":[20],"However,":[21],"preferable":[23],"system":[24,35,105],"would":[25],"equip":[28],"the":[29,67,72,75,83,94,107],"automated":[30],"cars":[31],"with":[32],"sensor":[34,84],"that":[36],"able":[38],"navigate":[40],"urban":[41],"scenarios":[42,128],"without":[43],"an":[44,113],"map.":[46],"We":[47],"present":[48],"novel":[50],"pipeline":[51],"using":[52],"deep":[54],"neural":[55],"network":[56],"detect":[58],"lane":[59,121,124],"semantics":[60,125],"and":[61,99],"topology":[62],"given":[63],"RGB":[64],"images.":[65],"On":[66],"basis":[68],"of":[69,97],"this":[70],"classification,":[71],"information":[73],"about":[74],"road":[76],"scene":[77],"can":[78],"extracted":[80],"just":[81],"from":[82],"setup":[85],"supporting":[86],"mapless":[87],"driving.":[89,131],"addition":[91],"superseding":[93],"huge":[95],"effort":[96],"creating":[98],"maintaining":[100],"maps,":[103],"our":[104],"reduces":[106],"need":[108],"for":[109,129],"precise":[110],"localization.":[111],"Using":[112],"extended":[114],"Cityscapes":[115],"dataset,":[116],"we":[117],"show":[118],"ego":[120],"detection":[122],"including":[123],"on":[126],"challenging":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
