{"id":"https://openalex.org/W4378549292","doi":"https://doi.org/10.1080/17489725.2023.2216670","title":"Road extraction from low-cost GNSS-device dense trajectories","display_name":"Road extraction from low-cost GNSS-device dense trajectories","publication_year":2023,"publication_date":"2023-05-27","ids":{"openalex":"https://openalex.org/W4378549292","doi":"https://doi.org/10.1080/17489725.2023.2216670"},"language":"en","primary_location":{"id":"doi:10.1080/17489725.2023.2216670","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17489725.2023.2216670","pdf_url":null,"source":{"id":"https://openalex.org/S96696709","display_name":"Journal of Location Based Services","issn_l":"1748-9725","issn":["1748-9725","1748-9733"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Location Based Services","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11449/248933","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092034445","display_name":"Bruno de Moura Morceli","orcid":"https://orcid.org/0000-0003-3870-0208"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Bruno de Moura Morceli","raw_affiliation_strings":["Department of Cartography, S\u00e3o Paulo State University (UNESP), Presidente Prudente, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-3870-0208","affiliations":[{"raw_affiliation_string":"Department of Cartography, S\u00e3o Paulo State University (UNESP), Presidente Prudente, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004941832","display_name":"Aluir Porf\u00edrio Dal P\u00f3z","orcid":"https://orcid.org/0000-0002-2534-1229"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Aluir Porf\u00edrio Dal Poz","raw_affiliation_strings":["Department of Cartography, S\u00e3o Paulo State University (UNESP), Presidente Prudente, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-2534-1229","affiliations":[{"raw_affiliation_string":"Department of Cartography, S\u00e3o Paulo State University (UNESP), Presidente Prudente, Brazil","institution_ids":["https://openalex.org/I879563668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5092034445"],"corresponding_institution_ids":["https://openalex.org/I879563668"],"apc_list":null,"apc_paid":null,"fwci":0.5203,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62608882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"17","issue":"3","first_page":"251","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13282","display_name":"Automated Road and Building Extraction","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9969000220298767,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9222000241279602,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.8507717847824097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7258809208869934},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5701074600219727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5662975311279297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5510467290878296},{"id":"https://openalex.org/keywords/precise-point-positioning","display_name":"Precise Point Positioning","score":0.5317472219467163},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.46339064836502075},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45861127972602844},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.45395582914352417},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4205559194087982},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2669143080711365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13926151394844055},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08688682317733765}],"concepts":[{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.8507717847824097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258809208869934},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5701074600219727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5662975311279297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5510467290878296},{"id":"https://openalex.org/C202511199","wikidata":"https://www.wikidata.org/wiki/Q7239503","display_name":"Precise Point Positioning","level":4,"score":0.5317472219467163},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.46339064836502075},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45861127972602844},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.45395582914352417},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4205559194087982},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2669143080711365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13926151394844055},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08688682317733765},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17489725.2023.2216670","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17489725.2023.2216670","pdf_url":null,"source":{"id":"https://openalex.org/S96696709","display_name":"Journal of Location Based Services","issn_l":"1748-9725","issn":["1748-9725","1748-9733"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Location Based Services","raw_type":"journal-article"},{"id":"pmh:oai:repositorio.unesp.br:11449/248933","is_oa":true,"landing_page_url":"http://hdl.handle.net/11449/248933","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:UNESP","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:repositorio.unesp.br:11449/248933","is_oa":true,"landing_page_url":"http://hdl.handle.net/11449/248933","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:UNESP","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[{"id":"https://openalex.org/G5791384392","display_name":null,"funder_award_id":"n\u00b0 132396/2019-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W76086797","https://openalex.org/W1625553374","https://openalex.org/W1817993859","https://openalex.org/W1981960581","https://openalex.org/W2030273775","https://openalex.org/W2071091794","https://openalex.org/W2076372637","https://openalex.org/W2081294768","https://openalex.org/W2111969977","https://openalex.org/W2118389488","https://openalex.org/W2137371749","https://openalex.org/W2153573977","https://openalex.org/W2156155065","https://openalex.org/W2160223913","https://openalex.org/W2758028572","https://openalex.org/W2786610367","https://openalex.org/W2801749212","https://openalex.org/W2887009916","https://openalex.org/W2900728397","https://openalex.org/W2988288682","https://openalex.org/W2998556100","https://openalex.org/W3115485425","https://openalex.org/W4249989757","https://openalex.org/W4281610284"],"related_works":["https://openalex.org/W3084744931","https://openalex.org/W2902549258","https://openalex.org/W2968867052","https://openalex.org/W4220774937","https://openalex.org/W4306248906","https://openalex.org/W4385199229","https://openalex.org/W4306291904","https://openalex.org/W3206199341","https://openalex.org/W2981911444","https://openalex.org/W3163354205"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,31,85,154],"method":[4,26,168],"for":[5,118],"road":[6,54,79],"centerline":[7],"extraction":[8],"from":[9,84,135],"dense":[10,107],"Global":[11],"Navigation":[12],"Satellite":[13],"System":[14],"(GNSS)":[15],"trajectories,":[16],"collected":[17],"by":[18,34,41,105,157,171],"using":[19,60,106],"low-cost":[20],"GNSS-devices,":[21],"i.e.":[22],"smartphones.":[23,172],"The":[24,56,88,113],"proposed":[25],"basically":[27],"consists":[28],"in":[29],"generating":[30],"frequency":[32,102],"image":[33,50],"tracking":[35],"the":[36,43,48,53,61,75,92,97,119,128,147,158,165],"GNSS":[37,166],"trajectories":[38],"and":[39,115,124],"then":[40],"applying":[42,96],"Steger":[44,62,98],"line":[45,99],"detector":[46,100],"to":[47,51,67,101,138,144],"generated":[49,104],"extract":[52],"centerlines.":[55],"main":[57],"motivation":[58],"of":[59,95,146,153],"algorithm":[63],"is":[64,164],"its":[65],"capability":[66],"detect":[68],"lines":[69],"with":[70],"sub-pixel":[71],"accuracy.":[72],"To":[73],"evaluate":[74],"obtained":[76],"results,":[77],"reference":[78],"centerlines":[80],"are":[81],"manually":[82],"extracted":[83],"georeferenced":[86],"orthomosaic.":[87],"experiments":[89,121],"performed":[90],"demonstrate":[91],"high":[93],"potential":[94],"images,":[103],"GPS":[108],"(Global":[109],"Positioning":[110,160],"System)":[111],"trajectories.":[112],"completeness":[114],"correctness":[116],"values":[117],"accomplished":[120],"were":[122],"98%":[123],"99%,":[125],"respectively.":[126],"Additionally,":[127],"RMSE":[129],"(Root":[130],"Mean":[131],"Square":[132],"Error)":[133],"ranged":[134],"0.63":[136],"m":[137],"2.39":[139],"m,":[140],"or":[141],"approximately":[142],"1/16":[143],"1/4":[145],"expected":[148],"accuracy":[149],"(about":[150],"10":[151],"m)":[152],"point":[155],"determined":[156],"Single-Point":[159],"(SPP)":[161],"method,":[162],"which":[163],"positioning":[167],"usually":[169],"employed":[170]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
