{"id":"https://openalex.org/W2905538768","doi":"https://doi.org/10.1109/itsc.2018.8569378","title":"Map Line Interface for Autonomous Driving","display_name":"Map Line Interface for Autonomous Driving","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2905538768","doi":"https://doi.org/10.1109/itsc.2018.8569378","mag":"2905538768"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2018.8569378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","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/A5047640048","display_name":"Nikola Karamanov","orcid":null},"institutions":[{"id":"https://openalex.org/I126889705","display_name":"Visteon (South Korea)","ror":"https://ror.org/056zfc440","country_code":"KR","type":"company","lineage":["https://openalex.org/I126889705","https://openalex.org/I4210095732"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nikola Karamanov","raw_affiliation_strings":["Visteon, Sofia"],"affiliations":[{"raw_affiliation_string":"Visteon, Sofia","institution_ids":["https://openalex.org/I126889705"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080585412","display_name":"Desislav Andreev","orcid":"https://orcid.org/0000-0001-5313-6313"},"institutions":[{"id":"https://openalex.org/I126889705","display_name":"Visteon (South Korea)","ror":"https://ror.org/056zfc440","country_code":"KR","type":"company","lineage":["https://openalex.org/I126889705","https://openalex.org/I4210095732"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Desislav Andreev","raw_affiliation_strings":["Visteon, Sofia"],"affiliations":[{"raw_affiliation_string":"Visteon, Sofia","institution_ids":["https://openalex.org/I126889705"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013362801","display_name":"Martin Pfeifle","orcid":null},"institutions":[{"id":"https://openalex.org/I126889705","display_name":"Visteon (South Korea)","ror":"https://ror.org/056zfc440","country_code":"KR","type":"company","lineage":["https://openalex.org/I126889705","https://openalex.org/I4210095732"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Martin Pfeifle","raw_affiliation_strings":["Visteon, Karlsruhe"],"affiliations":[{"raw_affiliation_string":"Visteon, Karlsruhe","institution_ids":["https://openalex.org/I126889705"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021203620","display_name":"Hendrik Bock","orcid":null},"institutions":[{"id":"https://openalex.org/I126889705","display_name":"Visteon (South Korea)","ror":"https://ror.org/056zfc440","country_code":"KR","type":"company","lineage":["https://openalex.org/I126889705","https://openalex.org/I4210095732"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hendrik Bock","raw_affiliation_strings":["Visteon, Karlsruhe"],"affiliations":[{"raw_affiliation_string":"Visteon, Karlsruhe","institution_ids":["https://openalex.org/I126889705"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090074590","display_name":"Mathias Otto","orcid":"https://orcid.org/0000-0003-3161-5625"},"institutions":[{"id":"https://openalex.org/I126889705","display_name":"Visteon (South Korea)","ror":"https://ror.org/056zfc440","country_code":"KR","type":"company","lineage":["https://openalex.org/I126889705","https://openalex.org/I4210095732"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mathias Otto","raw_affiliation_strings":["Visteon, Karlsruhe"],"affiliations":[{"raw_affiliation_string":"Visteon, Karlsruhe","institution_ids":["https://openalex.org/I126889705"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026943834","display_name":"Matthias Schulze","orcid":"https://orcid.org/0000-0002-2250-0431"},"institutions":[{"id":"https://openalex.org/I126889705","display_name":"Visteon (South Korea)","ror":"https://ror.org/056zfc440","country_code":"KR","type":"company","lineage":["https://openalex.org/I126889705","https://openalex.org/I4210095732"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Matthias Schulze","raw_affiliation_strings":["Visteon, Karlsruhe"],"affiliations":[{"raw_affiliation_string":"Visteon, Karlsruhe","institution_ids":["https://openalex.org/I126889705"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5047640048"],"corresponding_institution_ids":["https://openalex.org/I126889705"],"apc_list":null,"apc_paid":null,"fwci":0.5651,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71764292,"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":"26","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9916999936103821,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9916999936103821,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9891999959945679,"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/T11106","display_name":"Data Management and Algorithms","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6750053763389587},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.6390255689620972},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.514845073223114},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36667299270629883},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16274797916412354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6750053763389587},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.6390255689620972},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.514845073223114},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36667299270629883},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16274797916412354},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2018.8569378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","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":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1749494163","https://openalex.org/W1996177838","https://openalex.org/W2038537528","https://openalex.org/W2043642041","https://openalex.org/W2099544223","https://openalex.org/W2101796109","https://openalex.org/W2108678478","https://openalex.org/W2112358954","https://openalex.org/W2123487311","https://openalex.org/W2142036611","https://openalex.org/W2171235719","https://openalex.org/W2179676378","https://openalex.org/W2272234988","https://openalex.org/W2779164285","https://openalex.org/W2783836526","https://openalex.org/W2792435976","https://openalex.org/W2901136733","https://openalex.org/W6674945830","https://openalex.org/W6680623867","https://openalex.org/W6685035199"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Delivering":[0],"an":[1,9,157,269],"accurate":[2,208],"representation":[3,44],"of":[4,8,15,19,45,109,121,127,156,217,227,252,272,279],"the":[5,16,46,49,107,110,114,119,122,128,133,144,149,154,165,179,188,196,218,243,250,259,281],"lane":[6,37,189],"ahead":[7],"autonomously":[10],"driving":[11,30],"vehicle":[12,135],"is":[13,103,171,206],"one":[14],"key":[17],"functionalities":[18],"a":[20,32,42,55,201,276],"good":[21],"ADAS":[22],"perception":[23,50],"system.":[24],"This":[25],"statement":[26],"holds":[27],"especially":[28],"for":[29,83,100,164],"on":[31,41,118],"highway.":[33],"Functions":[34],"such":[35,54,62,186,223],"as":[36,63,106,187,224],"keeping":[38],"assistance":[39],"rely":[40],"proper":[43,56],"lanes":[47],"from":[48,59,113,148,268,275],"subsystem.":[51],"To":[52],"achieve":[53],"representation,":[57],"information":[58,78,99,111,126,146,169,182],"various":[60],"sensors":[61],"cameras,":[64],"LiDARs,":[65],"radars,":[66],"HD":[67,76],"maps":[68],"are":[69,91,266],"taken":[70],"into":[71],"consideration.":[72],"Up":[73],"to":[74,177,183,194,283],"now":[75],"map":[77,98,115,167,180,197,220,228,285],"has":[79],"been":[80],"mainly":[81],"used":[82],"longitudinal":[84],"control,":[85],"e.g.":[86],"in":[87,132,141,143,287],"cases":[88],"when":[89],"there":[90],"speed":[92],"limits":[93],"or":[94],"curves":[95],"ahead.":[96],"Using":[97],"lateral":[101],"control":[102],"more":[104],"difficult,":[105],"quality":[108],"derived":[112],"heavily":[116],"depends":[117],"precision":[120],"positional":[123],"and":[124,137,162,209,213,238,255,264,274],"heading":[125],"ego":[129,134,160],"vehicle.":[130],"Uncertainty":[131],"position":[136,161],"pose":[138,163],"directly":[139],"results":[140],"uncertainty":[142],"line":[145,168,181,198,221],"retrieved":[147],"digital":[150],"map.":[151],"We":[152,211,247],"examine":[153],"influence":[155],"uncertain":[158],"Gaussian":[159],"resulting":[166,219],"which":[170,205],"not":[172],"necessarily":[173],"Gaussian.":[174],"In":[175],"order":[176],"transport":[178],"other":[184],"subsystems":[185],"fusion":[190],"module,":[191],"we":[192],"need":[193],"approximate":[195,258],"distribution":[199],"by":[200],"suitable":[202,215],"data":[203],"structure":[204],"both":[207,267],"compact.":[210],"discuss":[212],"evaluate":[214],"approximations":[216],"distributions":[222,261],"mean":[225,231,239,253],"values":[226,232,237,240,254],"lines":[229,286],"only,":[230],"combined":[233,241],"with":[234,242],"standard":[235],"deviation":[236],"full":[244],"covariance":[245,256],"matrices.":[246],"show":[248],"that":[249],"usage":[251],"matrices":[257],"true":[260],"rather":[262],"accurately,":[263],"therefore":[265],"accuracy":[270],"point":[271,278],"view":[273,280],"bandwidth":[277],"way":[282],"represent":[284],"interfaces.":[288]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}