{"id":"https://openalex.org/W4396894931","doi":"https://doi.org/10.1061/jccee5.cpeng-5728","title":"Instance-Based Clustering of Road Markings with Wear and Occlusion from Mobile Lidar Data","display_name":"Instance-Based Clustering of Road Markings with Wear and Occlusion from Mobile Lidar Data","publication_year":2024,"publication_date":"2024-05-14","ids":{"openalex":"https://openalex.org/W4396894931","doi":"https://doi.org/10.1061/jccee5.cpeng-5728"},"language":"en","primary_location":{"id":"doi:10.1061/jccee5.cpeng-5728","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-5728","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-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/A5101716200","display_name":"Jaehoon Jung","orcid":"https://orcid.org/0000-0003-1592-1876"},"institutions":[{"id":"https://openalex.org/I151811957","display_name":"Gyeongnam National University of Science and Technology","ror":"https://ror.org/059r50h13","country_code":"KR","type":"education","lineage":["https://openalex.org/I151811957"]},{"id":"https://openalex.org/I189442560","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64","country_code":"KR","type":"education","lineage":["https://openalex.org/I189442560"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehoon Jung","raw_affiliation_strings":["Assistant Professor, Dept. of Urban Engineering, Gyeongsang National Univ., 501 Jinju-daero, Jinju, Gyeongnam 52828, South Korea (corresponding author). ORCID: "],"raw_orcid":"https://orcid.org/0000-0003-1592-1876","affiliations":[{"raw_affiliation_string":"Assistant Professor, Dept. of Urban Engineering, Gyeongsang National Univ., 501 Jinju-daero, Jinju, Gyeongnam 52828, South Korea (corresponding author). ORCID: ","institution_ids":["https://openalex.org/I151811957","https://openalex.org/I189442560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043119348","display_name":"Erzhuo Che","orcid":"https://orcid.org/0000-0001-7664-8098"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erzhuo Che","raw_affiliation_strings":["Assistant Professor and Senior Research, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor and Senior Research, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028550721","display_name":"Michael J. Olsen","orcid":"https://orcid.org/0000-0002-2989-5309"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael J. Olsen","raw_affiliation_strings":["Professor, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032967523","display_name":"Christopher Parrish","orcid":"https://orcid.org/0000-0002-2681-0090"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher E. Parrish","raw_affiliation_strings":["Professor, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331. ORCID: "],"raw_orcid":"https://orcid.org/0000-0002-2681-0090","affiliations":[{"raw_affiliation_string":"Professor, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331. ORCID: ","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080808128","display_name":"Yelda T\u00fcrkan","orcid":"https://orcid.org/0000-0002-3224-5462"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yelda Turkan","raw_affiliation_strings":["Associate Professor, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331. ORCID: "],"raw_orcid":"https://orcid.org/0000-0002-3224-5462","affiliations":[{"raw_affiliation_string":"Associate Professor, School of Civil and Construction Engineering, Oregon State Univ., 101 Kearney Hall, Corvallis, OR 97331. ORCID: ","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082162675","display_name":"Suhong Yoo","orcid":"https://orcid.org/0000-0002-2122-0534"},"institutions":[{"id":"https://openalex.org/I129672417","display_name":"Namseoul University","ror":"https://ror.org/0509ndt57","country_code":"KR","type":"education","lineage":["https://openalex.org/I129672417"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suhong Yoo","raw_affiliation_strings":["Assistant Professor, Dept. of Drone and GIS Engineering, Namseoul Univ., 91, Daehak-ro, Seonghwan-eup, Seobuk-gu, Cheonan-si, Chungcheongnam-do 31020, South Korea. ORCID: "],"raw_orcid":"https://orcid.org/0000-0002-2122-0534","affiliations":[{"raw_affiliation_string":"Assistant Professor, Dept. of Drone and GIS Engineering, Namseoul Univ., 91, Daehak-ro, Seonghwan-eup, Seobuk-gu, Cheonan-si, Chungcheongnam-do 31020, South Korea. ORCID: ","institution_ids":["https://openalex.org/I129672417"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5432,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5555699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"38","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/cluster-analysis","display_name":"Cluster analysis","score":0.7015619277954102},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6235069632530212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5313713550567627},{"id":"https://openalex.org/keywords/mobile-mapping","display_name":"Mobile mapping","score":0.46307671070098877},{"id":"https://openalex.org/keywords/road-construction","display_name":"Road construction","score":0.4139039218425751},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.41024351119995117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36908143758773804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3498031795024872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.345909059047699},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2884843349456787},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.24772483110427856},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23188439011573792},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.16209319233894348}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7015619277954102},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6235069632530212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5313713550567627},{"id":"https://openalex.org/C2776821279","wikidata":"https://www.wikidata.org/wiki/Q2293902","display_name":"Mobile mapping","level":3,"score":0.46307671070098877},{"id":"https://openalex.org/C3017560084","wikidata":"https://www.wikidata.org/wiki/Q34442","display_name":"Road construction","level":2,"score":0.4139039218425751},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.41024351119995117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36908143758773804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3498031795024872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.345909059047699},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2884843349456787},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.24772483110427856},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23188439011573792},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.16209319233894348}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/jccee5.cpeng-5728","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-5728","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1100793965","https://openalex.org/W1859392641","https://openalex.org/W2045388733","https://openalex.org/W2057065983","https://openalex.org/W2058155422","https://openalex.org/W2058537106","https://openalex.org/W2073924329","https://openalex.org/W2113551198","https://openalex.org/W2118691294","https://openalex.org/W2133059825","https://openalex.org/W2524866760","https://openalex.org/W2560566301","https://openalex.org/W2733731448","https://openalex.org/W2807603166","https://openalex.org/W2901316471","https://openalex.org/W2902218628","https://openalex.org/W2913972737","https://openalex.org/W2915486752","https://openalex.org/W2948365452","https://openalex.org/W2965958593","https://openalex.org/W2996385626","https://openalex.org/W3014699907","https://openalex.org/W3103329408","https://openalex.org/W3119762707","https://openalex.org/W3133150995","https://openalex.org/W3173491972","https://openalex.org/W3184198626","https://openalex.org/W4220673321","https://openalex.org/W4296569596","https://openalex.org/W4379033885"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W2306792328","https://openalex.org/W2055973554"],"abstract_inverted_index":{"Road":[0],"markings":[1,35,47,147,165],"are":[2,64,133,148,166],"essential":[3,65],"features":[4],"to":[5,9,44,84,94,150],"convey":[6],"important":[7],"information":[8],"various":[10],"roadway":[11],"users":[12],"such":[13],"as":[14],"pedestrians,":[15],"bicyclists,":[16],"and":[17,27,59,70,91,105,140,153,200,218],"motorists.":[18],"Although":[19,39],"mobile":[20],"laser":[21],"scanning":[22],"(MLS)":[23],"technology":[24],"provides":[25],"dense":[26],"spatially":[28],"accurate":[29],"data,":[30],"automated":[31],"identification":[32,69],"of":[33,72,88,159,203,216,222],"road":[34,46,57,60,73,77,103,127,161,164,194],"remains":[36],"a":[37,136,170,175,213,219],"challenge.":[38],"approaches":[40],"have":[41,53],"been":[42],"developed":[43],"detect":[45,151],"from":[48],"point":[49],"clouds,":[50],"prior":[51],"studies":[52],"not":[54],"thoroughly":[55],"investigated":[56],"discretization":[58],"marking":[61,128,195],"clustering,":[62,129],"which":[63,155],"for":[66,109],"effective":[67],"instance-level":[68],"management":[71],"markings.":[74,162],"To":[75,125],"improve":[76,126],"discretization,":[78],"our":[79],"approach":[80,172,181],"uses":[81],"line":[82,177],"segmentation":[83],"divide":[85],"the":[86,99,102,106,130,157],"trajectory":[87,111],"MLS":[89,189],"data":[90,190],"fit":[92],"circles":[93],"individual":[95],"segments.":[96],"By":[97],"calculating":[98],"intersection":[100],"between":[101],"points":[104,132],"circle\u2019s":[107],"center":[108],"each":[110],"segment,":[112],"this":[113],"method":[114],"ensures":[115],"no":[116],"overlap":[117],"occurs":[118],"when":[119],"discretizing":[120],"roads":[121],"with":[122,174,197],"sharp":[123],"turns.":[124],"discretized":[131],"rasterized":[134],"onto":[135],"two-dimensional":[137],"(2D)":[138],"image":[139],"clustered":[141],"using":[142,169,187],"connected":[143],"component":[144],"labeling.":[145],"Individual":[146],"skeletonized":[149],"junctions":[152],"corners,":[154],"enables":[156],"separation":[158],"underclustered":[160],"Overclustered":[163],"then":[167],"merged":[168],"rule-based":[171],"optimized":[173],"traffic":[176],"manual.":[178],"The":[179],"proposed":[180],"was":[182],"evaluated":[183],"through":[184],"extensive":[185],"experiments":[186],"28":[188],"sets":[191],"containing":[192],"2,340":[193],"clusters":[196],"complex":[198],"geometry":[199],"wear.":[201],"Out":[202],"these,":[204],"only":[205],"64":[206],"instances":[207],"(2.7%)":[208],"were":[209],"falsely":[210],"clustered,":[211],"achieving":[212],"precision":[214],"rate":[215,221],"97.5%":[217],"recall":[220],"99.7%.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
