{"id":"https://openalex.org/W3199736001","doi":"https://doi.org/10.2312/ceig.20211360","title":"A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets","display_name":"A GPU-accelerated LiDAR Sensor for Generating Labelled Datasets","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3199736001","doi":"https://doi.org/10.2312/ceig.20211360","mag":"3199736001"},"language":"en","primary_location":{"id":"doi:10.2312/ceig.20211360","is_oa":true,"landing_page_url":"https://doi.org/10.2312/ceig.20211360","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/ceig.20211360","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101776792","display_name":"Alfonso L\u00f3pez","orcid":"https://orcid.org/0000-0003-1423-9496"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L\u00f3pez, Alfonso","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141341891","display_name":"Carlos Javier Ogayar Anguita","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anguita, Carlos Javier Ogayar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065391596","display_name":"Francisco R. Feito Higueruela","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Higueruela, Francisco Ram\u00f3n Feito","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1554,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41110309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9264000058174133,"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":0.9264000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7135187387466431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5500085949897766},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5009636878967285},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.39858222007751465},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24551475048065186}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7135187387466431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5500085949897766},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5009636878967285},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.39858222007751465},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24551475048065186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/ceig.20211360","is_oa":true,"landing_page_url":"https://doi.org/10.2312/ceig.20211360","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:3199736001","is_oa":false,"landing_page_url":"https://diglib.eg.org/handle/10.2312/ceig20211360","pdf_url":null,"source":{"id":"https://openalex.org/S4306505811","display_name":"CEIG","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"CEIG","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/ceig.20211360","is_oa":true,"landing_page_url":"https://doi.org/10.2312/ceig.20211360","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3201320409","https://openalex.org/W2380824144","https://openalex.org/W2045290438","https://openalex.org/W1986055968","https://openalex.org/W2530611684","https://openalex.org/W2186979161","https://openalex.org/W2072392106","https://openalex.org/W2081454544","https://openalex.org/W1978881728","https://openalex.org/W2326824922","https://openalex.org/W1997148938","https://openalex.org/W3148136323","https://openalex.org/W2560786802","https://openalex.org/W2543998736","https://openalex.org/W3197506183","https://openalex.org/W2351390004","https://openalex.org/W3116323460","https://openalex.org/W2000409239","https://openalex.org/W2052645680","https://openalex.org/W2185507641"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,33,50,56,65],"GPU-based":[4],"LiDAR":[5,15,38,46,52,60],"simulator":[6],"to":[7],"generate":[8],"large":[9,34],"datasets":[10],"of":[11,29,36,45,59,68,88],"ground-truth":[12],"point":[13,80],"clouds.":[14],"technology":[16],"has":[17],"significantly":[18],"increased":[19],"its":[20,30],"impact":[21],"on":[22],"academic":[23],"and":[24,63],"industrial":[25],"environments.":[26],"However,":[27],"some":[28],"applications":[31],"require":[32],"amount":[35],"annotated":[37],"data.":[39],"Furthermore,":[40],"there":[41],"exist":[42],"many":[43],"types":[44],"sensors.":[47],"Therefore,":[48],"developing":[49],"parametric":[51],"model":[53],"allows":[54],"simulating":[55],"wide":[57],"range":[58],"scanning":[61],"technologies":[62],"obtaining":[64],"significant":[66],"number":[67],"points":[69],"clouds":[70,81],"at":[71],"no":[72],"cost.":[73],"Beyond":[74],"their":[75],"intensity":[76],"data,":[77],"these":[78],"synthetic":[79],"can":[82],"be":[83],"classified":[84],"with":[85],"any":[86],"level":[87],"detail.":[89]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}