{"id":"https://openalex.org/W2073924329","doi":"https://doi.org/10.1109/tits.2015.2409192","title":"Using Mobile LiDAR Data for Rapidly Updating Road Markings","display_name":"Using Mobile LiDAR Data for Rapidly Updating Road Markings","publication_year":2015,"publication_date":"2015-03-31","ids":{"openalex":"https://openalex.org/W2073924329","doi":"https://doi.org/10.1109/tits.2015.2409192","mag":"2073924329"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2015.2409192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2015.2409192","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","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/A5035056634","display_name":"Haiyan Guan","orcid":"https://orcid.org/0000-0003-3691-8721"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyan Guan","raw_affiliation_strings":["College of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing, China","Coll. of Geogr. & Remote Sensing, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Coll. of Geogr. & Remote Sensing, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613889","display_name":"Jonathan Li","orcid":"https://orcid.org/0000-0001-7899-0049"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, University of Waterloo, Waterloo, ON, Canada","[Fujian Key Lab. of Sensing & Comput. for Smart Cities, Xiamen Univ., Xiamen, China]"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Fujian Key Lab. of Sensing & Comput. for Smart Cities, Xiamen Univ., Xiamen, China]","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065937604","display_name":"Yongtao Yu","orcid":"https://orcid.org/0000-0001-7204-9346"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtao Yu","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen, China","[Fujian Key Lab. of Sensing & Comput. for Smart Cities, Xiamen Univ., Xiamen, China]"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[Fujian Key Lab. of Sensing & Comput. for Smart Cities, Xiamen Univ., Xiamen, China]","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897904","display_name":"Zheng Ji","orcid":"https://orcid.org/0000-0002-1419-5326"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Ji","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Remote Sensing and information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416961","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0001-6075-796X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]},{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, University of Waterloo, Waterloo, ON, Canada","[Fujian Key Lab. of Sensing & Comput. for Smart Cities, Xiamen Univ., Xiamen, China]"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Fujian Key Lab. of Sensing & Comput. for Smart Cities, Xiamen Univ., Xiamen, China]","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035056634"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":6.5853,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.96707264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"5","first_page":"2457","last_page":"2466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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":1.0,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9972000122070312,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7542484402656555},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7464538812637329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6259033679962158},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5785549283027649},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5751276016235352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5397918820381165},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5277786254882812},{"id":"https://openalex.org/keywords/mobile-mapping","display_name":"Mobile mapping","score":0.5252575278282166},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.522068202495575},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.510637104511261},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4622611105442047},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.45435842871665955},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42960017919540405},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4015253186225891},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3496400713920593},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15681779384613037},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14475935697555542}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7542484402656555},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7464538812637329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6259033679962158},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5785549283027649},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5751276016235352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5397918820381165},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5277786254882812},{"id":"https://openalex.org/C2776821279","wikidata":"https://www.wikidata.org/wiki/Q2293902","display_name":"Mobile mapping","level":3,"score":0.5252575278282166},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.522068202495575},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.510637104511261},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4622611105442047},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.45435842871665955},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42960017919540405},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4015253186225891},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3496400713920593},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15681779384613037},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14475935697555542},{"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},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2015.2409192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2015.2409192","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G1240183409","display_name":null,"funder_award_id":"41301518","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G310053896","display_name":null,"funder_award_id":"41471379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1485843859","https://openalex.org/W1974605586","https://openalex.org/W1988185297","https://openalex.org/W2006187473","https://openalex.org/W2029309869","https://openalex.org/W2031266623","https://openalex.org/W2045297782","https://openalex.org/W2045388733","https://openalex.org/W2047393497","https://openalex.org/W2049487729","https://openalex.org/W2058537106","https://openalex.org/W2077506631","https://openalex.org/W2088648144","https://openalex.org/W2092282499","https://openalex.org/W2116211213","https://openalex.org/W2119381501","https://openalex.org/W2131076267","https://openalex.org/W2131531901","https://openalex.org/W2132797060","https://openalex.org/W2133042982","https://openalex.org/W2133059825","https://openalex.org/W2137176344","https://openalex.org/W2138362596","https://openalex.org/W2139201630","https://openalex.org/W2140253100","https://openalex.org/W2144801789","https://openalex.org/W2155491122","https://openalex.org/W2169886432","https://openalex.org/W2169900545","https://openalex.org/W2178624248","https://openalex.org/W2343467757","https://openalex.org/W2742453554","https://openalex.org/W4298053557","https://openalex.org/W6665123514","https://openalex.org/W6684793000","https://openalex.org/W6704212010","https://openalex.org/W6741967021"],"related_works":["https://openalex.org/W3039299368","https://openalex.org/W3083006002","https://openalex.org/W4378194305","https://openalex.org/W2588867189","https://openalex.org/W3161266721","https://openalex.org/W4379793640","https://openalex.org/W1980655679","https://openalex.org/W4378190143","https://openalex.org/W1996125102","https://openalex.org/W2901904818"],"abstract_inverted_index":{"Updating":[0],"road":[1,15,75,80,97,126],"markings":[2,127],"is":[3,84],"one":[4],"of":[5,9,46,65],"the":[6,29,60,129],"routine":[7],"tasks":[8],"transportation":[10],"agencies.":[11],"Compared":[12],"with":[13],"traditional":[14],"inventory":[16],"mapping":[17],"techniques,":[18],"vehicle-borne":[19],"mobile":[20,53,146],"light":[21],"detection":[22],"and":[23,32,39,49,62,73,115,124],"ranging":[24],"(LiDAR)":[25],"systems":[26],"can":[27],"undertake":[28],"job":[30],"safely":[31],"efficiently.":[33],"However,":[34],"current":[35],"hurdles":[36],"include":[37],"software":[38],"computing":[40],"challenges":[41],"when":[42],"handling":[43],"huge":[44],"volumes":[45],"highly":[47],"dense":[48],"irregularly":[50],"distributed":[51],"3-D":[52,96,138],"LiDAR":[54,147],"point":[55,139],"clouds.":[56],"This":[57],"paper":[58],"presents":[59],"development":[61],"implementation":[63],"aspects":[64],"an":[66],"automated":[67],"object":[68],"extraction":[69,82],"strategy":[70],"for":[71],"rapid":[72],"accurate":[74],"marking":[76,81],"inventory.":[77],"The":[78,134],"proposed":[79,121],"method":[83],"based":[85],"on":[86],"2-D":[87],"georeferenced":[88],"feature":[89],"(GRF)":[90],"images,":[91],"which":[92],"are":[93,120,154],"interpolated":[94],"from":[95,128],"surface":[98],"points":[99],"through":[100],"a":[101,143,150],"modified":[102],"inverse":[103],"distance":[104],"weighted":[105],"(IDW)":[106],"interpolation.":[107],"Weighted":[108],"neighboring":[109],"difference":[110],"histogram":[111],"(WNDH)-based":[112],"dynamic":[113],"thresholding":[114],"multiscale":[116],"tensor":[117],"voting":[118],"(MSTV)":[119],"to":[122],"segment":[123],"extract":[125],"noisy":[130],"corrupted":[131],"GRF":[132],"images.":[133],"results":[135],"obtained":[136],"using":[137],"clouds":[140],"acquired":[141],"by":[142],"RIEGL":[144],"VMX-450":[145],"system":[148],"in":[149],"subtropical":[151],"urban":[152],"environment":[153],"encouraging.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
