乐胖代购免代理版

{"id":"https://openalex.org/W3184198626","doi":"https://doi.org/10.3390/rs13132612","title":"Automatic Road Marking Extraction and Vectorization from Vehicle-Borne Laser Scanning Data","display_name":"Automatic Road Marking Extraction and Vectorization from Vehicle-Borne Laser Scanning Data","publication_year":2021,"publication_date":"2021-07-03","ids":{"openalex":"https://openalex.org/W3184198626","doi":"https://doi.org/10.3390/rs13132612","mag":"3184198626"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132612","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2612/pdf?version=1625457349","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/13/2612/pdf?version=1625457349","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112127417","display_name":"Lianbi Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianbi Yao","raw_affiliation_strings":["College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048352920","display_name":"Changcai Qin","orcid":"https://orcid.org/0000-0003-3065-0517"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changcai Qin","raw_affiliation_strings":["College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048755096","display_name":"Qichao Chen","orcid":"https://orcid.org/0000-0001-8980-0757"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qichao Chen","raw_affiliation_strings":["College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077262336","display_name":"Hangbin Wu","orcid":"https://orcid.org/0000-0002-4985-191X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"funder","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangbin Wu","raw_affiliation_strings":["College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China"],"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048352920"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.324,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.734514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"13","issue":"13","first_page":"2612","last_page":"2612"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998,"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":0.9998,"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":0.9982,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9867,"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/vectorization","display_name":"Vectorization (mathematics)","score":0.59999406},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.4674443},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4337552},{"id":"https://openalex.org/keywords/scan-line","display_name":"Scan line","score":0.42265496}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.77212286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7236309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71065},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.6098303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.60308635},{"id":"https://openalex.org/C41681595","wikidata":"https://www.wikidata.org/wiki/Q7917855","display_name":"Vectorization (mathematics)","level":2,"score":0.59999406},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.55517685},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4674443},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4337552},{"id":"https://openalex.org/C142748172","wikidata":"https://www.wikidata.org/wiki/Q3240002","display_name":"Scan line","level":4,"score":0.42265496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3818445},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.26695424},{"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/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132612","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2612/pdf?version=1625457349","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/bedf67316f304a93a811713da4c5f41f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13132612","pdf_url":"https://www.mdpi.com/2072-4292/13/13/2612/pdf?version=1625457349","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.76,"id":"https://metadata.un.org/sdg/11"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"41771482"}],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W1486565020","https://openalex.org/W1570209653","https://openalex.org/W1984282152","https://openalex.org/W2003099669","https://openalex.org/W2058537106","https://openalex.org/W2073924329","https://openalex.org/W2077506631","https://openalex.org/W2088648144","https://openalex.org/W2128007404","https://openalex.org/W2151631165","https://openalex.org/W2294873883","https://openalex.org/W2437035415","https://openalex.org/W2489541753","https://openalex.org/W2524866760","https://openalex.org/W2751562219","https://openalex.org/W2802103853","https://openalex.org/W3020206414","https://openalex.org/W3022718244","https://openalex.org/W3101896960"],"related_works":["https://openalex.org/W4210244968","https://openalex.org/W2954918491","https://openalex.org/W2375861640","https://openalex.org/W2371122778","https://openalex.org/W2355044006","https://openalex.org/W2145135145","https://openalex.org/W2141028190","https://openalex.org/W2050704785","https://openalex.org/W2012799661","https://openalex.org/W127961294"],"abstract_inverted_index":{"Automatic":[0],"driving":[1],"technology":[2],"is":[3,21,104,148,163,169,209,236,252],"becoming":[4],"one":[5],"of":[6,10,25,53,61,72,86,138,190,214,228,248,278,281],"the":[7,26,54,62,69,73,81,95,102,111,115,121,136,159,164,178,191,197,215,226,229,249,279],"main":[8],"areas":[9,267],"development":[11],"for":[12,39,211,270],"future":[13],"intelligent":[14],"transportation":[15],"systems.":[16],"The":[17,48,203,246,276],"high-precision":[18,40,74],"map,":[19],"which":[20,168],"an":[22,257],"important":[23],"supplement":[24],"on-board":[27],"sensors":[28],"during":[29],"shielding":[30],"or":[31],"limited":[32],"observation":[33],"distance,":[34],"provides":[35],"a":[36,131,241],"priori":[37],"information":[38,52],"positioning":[41],"and":[42,50,65,84,101,194,223,233,274,287,295],"path":[43],"planning":[44],"in":[45,196],"automatic":[46,82],"driving.":[47],"position":[49],"semantic":[51,212],"road":[55,87,116,173,217,271],"markings,":[56,218],"such":[57],"as":[58],"absolute":[59],"coordinates":[60],"solid":[63,192,231],"lines":[64,91,108,182,193,232,235],"dashed":[66,220,234,282],"lines,":[67,221,283],"are":[68,92,125,183,200,268,291],"basic":[70],"components":[71],"map.":[75],"In":[76],"this":[77,119],"paper,":[78],"we":[79],"study":[80],"extraction":[83,273],"vectorization":[85,227,247],"markings.":[88],"Firstly,":[89],"scan":[90,107],"extracted":[93,105],"from":[94,106,177,264],"vehicle-borne":[96],"laser":[97],"point":[98,123,175],"cloud":[99,262],"data,":[100],"pavement":[103,122],"according":[109,255],"to":[110,150,171,256],"geometric":[112],"mutation":[113],"at":[114],"boundary.":[117],"On":[118],"basis,":[120],"clouds":[124,176],"transformed":[126],"into":[127,154],"raster":[128,152],"images":[129,153],"with":[130],"certain":[132],"resolution":[133],"by":[134,158,185],"using":[135],"method":[137],"inverse":[139],"distance":[140],"weighted":[141],"interpolation.":[142],"An":[143],"adaptive":[144,160],"threshold":[145,161],"segmentation":[146,162,243],"algorithm":[147],"used":[149,170,210,269],"convert":[151],"binary":[155,179],"images.":[156],"Followed":[157],"Euclidean":[165],"clustering":[166],"method,":[167],"extract":[172],"markings":[174],"image.":[180],"Solid":[181],"detected":[184],"feature":[186],"attribute":[187],"filtering.":[188],"All":[189],"guidelines":[195,222,251],"sample":[198],"data":[199,263],"correctly":[201],"identified.":[202],"deep":[204],"learning":[205],"network":[206],"framework":[207],"PointNet++":[208],"recognition":[213],"remaining":[216],"including":[219],"arrows.":[224],"Finally,":[225],"identified":[230,250],"carried":[237,253],"out":[238,254],"based":[239],"on":[240],"line":[242],"self-growth":[244],"algorithm.":[245,260],"alpha":[258],"shape":[259],"Point":[261],"four":[265],"experimental":[266],"marking":[272],"identification.":[275],"F-scores":[277],"identification":[280],"guidelines,":[284],"straight":[285],"arrows":[286,290],"right":[288],"turn":[289],"0.97,":[292],"0.66,":[293],"0.84":[294],"1,":[296],"respectively.":[297]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3184198626","counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-03-17T13:04:20.371428","created_date":"2021-08-02"}