{"id":"https://openalex.org/W3171087647","doi":"https://doi.org/10.1109/icme51207.2021.9428337","title":"Lidar-Based Real-Time Mapping for Digital Twin Development","display_name":"Lidar-Based Real-Time Mapping for Digital Twin Development","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3171087647","doi":"https://doi.org/10.1109/icme51207.2021.9428337","mag":"3171087647"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5052232059","display_name":"Evan Brock","orcid":null},"institutions":[{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Evan Brock","raw_affiliation_strings":["University of Tennessee at Chattanooga,Tennessee,USA,37403"],"affiliations":[{"raw_affiliation_string":"University of Tennessee at Chattanooga,Tennessee,USA,37403","institution_ids":["https://openalex.org/I177097968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086630142","display_name":"Chengxuan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengxuan Huang","raw_affiliation_strings":["University of California,Davis,California,USA,95616"],"affiliations":[{"raw_affiliation_string":"University of California,Davis,California,USA,95616","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739181","display_name":"Dalei Wu","orcid":"https://orcid.org/0000-0002-9362-3906"},"institutions":[{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dalei Wu","raw_affiliation_strings":["University of Tennessee at Chattanooga,Tennessee,USA,37403"],"affiliations":[{"raw_affiliation_string":"University of Tennessee at Chattanooga,Tennessee,USA,37403","institution_ids":["https://openalex.org/I177097968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103434016","display_name":"Yu Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Liang","raw_affiliation_strings":["University of Tennessee at Chattanooga,Tennessee,USA,37403"],"affiliations":[{"raw_affiliation_string":"University of Tennessee at Chattanooga,Tennessee,USA,37403","institution_ids":["https://openalex.org/I177097968"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052232059"],"corresponding_institution_ids":["https://openalex.org/I177097968"],"apc_list":null,"apc_paid":null,"fwci":0.2684,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.50523159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9983000159263611,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8084324598312378},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7834760546684265},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7490023970603943},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.6912873387336731},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6898402571678162},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5686380863189697},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4806986451148987},{"id":"https://openalex.org/keywords/game-engine","display_name":"Game engine","score":0.4746861159801483},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4246610701084137},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41389307379722595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2880443036556244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23013195395469666},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.21829339861869812},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.16171103715896606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084324598312378},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7834760546684265},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7490023970603943},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.6912873387336731},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6898402571678162},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5686380863189697},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4806986451148987},{"id":"https://openalex.org/C2986528223","wikidata":"https://www.wikidata.org/wiki/Q193564","display_name":"Game engine","level":2,"score":0.4746861159801483},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4246610701084137},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41389307379722595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2880443036556244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23013195395469666},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.21829339861869812},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.16171103715896606},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2008048044","https://openalex.org/W2034207289","https://openalex.org/W2100816864","https://openalex.org/W2739980993","https://openalex.org/W2751451999","https://openalex.org/W2772432838","https://openalex.org/W2808199334","https://openalex.org/W2886253469","https://openalex.org/W2971655555","https://openalex.org/W3006030647","https://openalex.org/W6658854780"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2993931814","https://openalex.org/W4285371042","https://openalex.org/W3005502727","https://openalex.org/W8763","https://openalex.org/W4382491189"],"abstract_inverted_index":{"Game":[0],"engines":[1,19],"are":[2,20,71],"effective":[3],"in":[4,13,73],"generating":[5],"and":[6,57,68,115],"visualizing":[7],"digital":[8,128],"twins":[9],"of":[10,27,36,66,77,130],"urban":[11,131],"environment":[12],"real":[14,28],"time.":[15],"However,":[16],"current":[17],"game":[18,120],"not":[21],"built":[22],"to":[23,122],"handle":[24],"the":[25,102,111],"influx":[26],"time":[29],"data":[30],"streams":[31],"from":[32,48],"a":[33,43,49,54,64,83,119,125],"diverse":[34],"array":[35],"IoT":[37],"devices,":[38],"nor":[39],"can":[40],"they":[41],"render":[42],"real-time":[44],"dynamic":[45],"mesh":[46],"streamed":[47],"scanning":[50],"device":[51],"such":[52],"as":[53,96,98],"Light":[55],"Detection":[56],"Ranging":[58],"(LIDAR)":[59],"system.":[60],"In":[61],"this":[62],"paper,":[63],"combination":[65],"pre-processing":[67],"post-processing":[69,116],"techniques":[70],"considered":[72],"variably":[74],"processed":[75],"batches":[76],"point-cloud":[78],"data.":[79],"Additionally,":[80],"we":[81],"propose":[82],"quantitative":[84],"error":[85],"analysis":[86,100],"for":[87,101],"points":[88],"generated":[89],"on":[90],"our":[91],"experimental":[92],"aerial":[93],"mapping":[94],"platform,":[95],"well":[97],"an":[99],"accuracy":[103],"improvement":[104],"after":[105],"post-processing.":[106],"Experimental":[107],"results":[108],"show":[109],"that":[110],"proposed":[112],"rendering":[113],"algorithm":[114],"could":[117],"enable":[118],"engine":[121],"efficiently":[123],"generate":[124],"highly":[126],"accurate":[127],"twin":[129],"environment.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}