{"id":"https://openalex.org/W2909919731","doi":"https://doi.org/10.1109/iros.2018.8593855","title":"Lane Marking Quality Assessment for Autonomous Driving","display_name":"Lane Marking Quality Assessment for Autonomous Driving","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2909919731","doi":"https://doi.org/10.1109/iros.2018.8593855","mag":"2909919731"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2018.8593855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8593855","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":"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/A5100406167","display_name":"Binbin Li","orcid":"https://orcid.org/0000-0002-7018-1850"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Binbin Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, TX, US","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054819263","display_name":"Dezhen Song","orcid":"https://orcid.org/0000-0002-2944-5754"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhen Song","raw_affiliation_strings":["Computer Science Department, University of China, Tianjin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of China, Tianjin","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398353","display_name":"Haifeng Li","orcid":"https://orcid.org/0000-0003-1173-6593"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Li","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001235780","display_name":"Adam M. Pike","orcid":"https://orcid.org/0000-0002-5820-3084"},"institutions":[{"id":"https://openalex.org/I1305343817","display_name":"Texas Department of Transportation","ror":"https://ror.org/02ky21x08","country_code":"US","type":"government","lineage":["https://openalex.org/I1305343817"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Pike","raw_affiliation_strings":["Texas A&M Transportation Institute, College Station, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M Transportation Institute, College Station, TX, US","institution_ids":["https://openalex.org/I1305343817"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003009382","display_name":"Paul J. Carlson","orcid":"https://orcid.org/0000-0003-0859-9305"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul Carlson","raw_affiliation_strings":["Road Infrastructure, Inc., College Station, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Road Infrastructure, Inc., College Station, TX, US","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7723,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85989492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"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":0.9990000128746033,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9952999949455261,"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/visibility","display_name":"Visibility","score":0.767522931098938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7234445810317993},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6994900107383728},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5888057947158813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5733585953712463},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5644009709358215},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4891414940357208},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4785764515399933},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4656083881855011},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46194323897361755},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4167240858078003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23449498414993286},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14790278673171997},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1341419219970703}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.767522931098938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7234445810317993},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6994900107383728},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5888057947158813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5733585953712463},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5644009709358215},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4891414940357208},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4785764515399933},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4656083881855011},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46194323897361755},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4167240858078003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23449498414993286},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14790278673171997},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1341419219970703},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2018.8593855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2018.8593855","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":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W170913017","https://openalex.org/W1183861445","https://openalex.org/W1484676273","https://openalex.org/W1556730419","https://openalex.org/W1663973292","https://openalex.org/W1686810756","https://openalex.org/W1746819321","https://openalex.org/W1989962196","https://openalex.org/W2055207897","https://openalex.org/W2058537106","https://openalex.org/W2065467285","https://openalex.org/W2077506631","https://openalex.org/W2101395946","https://openalex.org/W2107323963","https://openalex.org/W2114674762","https://openalex.org/W2121806728","https://openalex.org/W2128852112","https://openalex.org/W2136756158","https://openalex.org/W2139061592","https://openalex.org/W2144922748","https://openalex.org/W2147558395","https://openalex.org/W2157076480","https://openalex.org/W2159132531","https://openalex.org/W2168104347","https://openalex.org/W2182332383","https://openalex.org/W2185802128","https://openalex.org/W2277132981","https://openalex.org/W2300131316","https://openalex.org/W2340480757","https://openalex.org/W2395611524","https://openalex.org/W2745410201","https://openalex.org/W4211049957","https://openalex.org/W4285719527","https://openalex.org/W6606984905","https://openalex.org/W6681686773","https://openalex.org/W6684742562","https://openalex.org/W6686689281","https://openalex.org/W7000594965"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W2362400270"],"abstract_inverted_index":{"Measuring":[0],"the":[1,72,75,84,103,123],"quality":[2,60],"of":[3,36],"roads":[4],"and":[5,25,50,54,66,83,96,107,125],"ensuring":[6],"they":[7],"are":[8],"ready":[9],"for":[10,15,62],"autonomous":[11],"driving":[12],"is":[13],"important":[14],"future":[16],"transportation":[17],"systems.":[18],"Here":[19],"we":[20],"focus":[21],"on":[22,79],"developing":[23],"metrics":[24,61,136],"algorithms":[26,124],"to":[27,116],"assess":[28],"lane":[29],"marking":[30],"(LM)qualities":[31],"from":[32],"an":[33,37],"egocentric":[34],"view":[35],"inspection":[38],"vehicle":[39],"equipped":[40],"with":[41],"a":[42,47,51,113],"global":[43],"positioning":[44],"system":[45],"(GPS)receiver,":[46],"frontal-view":[48],"camera,":[49],"light":[52],"detection":[53],"ranging":[55],"(LIDAR)system.":[56],"We":[57,111,120],"propose":[58,112],"three":[59],"LMs:":[63],"correctness,":[64],"shape,":[65],"visibility.":[67],"The":[68,88,99,131],"correctness":[69],"metric":[70,90,101],"measures":[71],"divergence":[73],"between":[74,105],"expected":[76],"LMs":[77,106],"based":[78],"prior":[80],"map":[81],"inputs":[82],"actual":[85],"sensor":[86],"inputs.":[87],"shape":[89],"evaluates":[91,102],"smoothness":[92],"in":[93,142],"road":[94,109],"curvature":[95],"width":[97],"range.":[98],"visibility":[100],"contrast":[104],"background":[108],"surfaces.":[110],"dual-modal":[114],"algorithm":[115],"compute":[117],"these":[118],"metrics.":[119],"have":[121],"implemented":[122],"tested":[126],"them":[127],"under":[128],"KITTI":[129],"dataset.":[130],"results":[132],"show":[133],"that":[134],"our":[135],"can":[137],"successfully":[138],"detect":[139],"LM":[140],"anomalies":[141],"all":[143],"testing":[144],"scenarios.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
