{"id":"https://openalex.org/W4312712200","doi":"https://doi.org/10.1109/pimrc54779.2022.9977926","title":"Indoor Model Reconstruction using 3D Point Cloud Data for Ray Tracing Simulation","display_name":"Indoor Model Reconstruction using 3D Point Cloud Data for Ray Tracing Simulation","publication_year":2022,"publication_date":"2022-09-12","ids":{"openalex":"https://openalex.org/W4312712200","doi":"https://doi.org/10.1109/pimrc54779.2022.9977926"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc54779.2022.9977926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc54779.2022.9977926","pdf_url":null,"source":{"id":"https://openalex.org/S4363605306","display_name":"2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5025744954","display_name":"Wataru Okamura","orcid":null},"institutions":[{"id":"https://openalex.org/I912014387","display_name":"Keihin (Japan)","ror":"https://ror.org/03jvjps27","country_code":"JP","type":"company","lineage":["https://openalex.org/I912014387"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Wataru Okamura","raw_affiliation_strings":["Kozo Keikaku Engineering Inc.,Radio Technology Department,Tokyo,Japan","Radio Technology Department, Kozo Keikaku Engineering Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Kozo Keikaku Engineering Inc.,Radio Technology Department,Tokyo,Japan","institution_ids":["https://openalex.org/I912014387"]},{"raw_affiliation_string":"Radio Technology Department, Kozo Keikaku Engineering Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078986153","display_name":"Kento Sugiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I912014387","display_name":"Keihin (Japan)","ror":"https://ror.org/03jvjps27","country_code":"JP","type":"company","lineage":["https://openalex.org/I912014387"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kento Sugiyama","raw_affiliation_strings":["Kozo Keikaku Engineering Inc.,Radio Technology Department,Tokyo,Japan","Radio Technology Department, Kozo Keikaku Engineering Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Kozo Keikaku Engineering Inc.,Radio Technology Department,Tokyo,Japan","institution_ids":["https://openalex.org/I912014387"]},{"raw_affiliation_string":"Radio Technology Department, Kozo Keikaku Engineering Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026429383","display_name":"Gilbert Siy Ching","orcid":"https://orcid.org/0009-0004-2017-7230"},"institutions":[{"id":"https://openalex.org/I912014387","display_name":"Keihin (Japan)","ror":"https://ror.org/03jvjps27","country_code":"JP","type":"company","lineage":["https://openalex.org/I912014387"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gilbert Siy Ching","raw_affiliation_strings":["Kozo Keikaku Engineering Inc.,Radio Technology Department,Tokyo,Japan","Radio Technology Department, Kozo Keikaku Engineering Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Kozo Keikaku Engineering Inc.,Radio Technology Department,Tokyo,Japan","institution_ids":["https://openalex.org/I912014387"]},{"raw_affiliation_string":"Radio Technology Department, Kozo Keikaku Engineering Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110231800","display_name":"Yukiko Kishiki","orcid":null},"institutions":[{"id":"https://openalex.org/I912014387","display_name":"Keihin (Japan)","ror":"https://ror.org/03jvjps27","country_code":"JP","type":"company","lineage":["https://openalex.org/I912014387"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukiko Kishiki","raw_affiliation_strings":["Kozo Keikaku Engineering Inc.,Radio Technology Department,Tokyo,Japan","Radio Technology Department, Kozo Keikaku Engineering Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Kozo Keikaku Engineering Inc.,Radio Technology Department,Tokyo,Japan","institution_ids":["https://openalex.org/I912014387"]},{"raw_affiliation_string":"Radio Technology Department, Kozo Keikaku Engineering Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087823453","display_name":"Kentaro Saito","orcid":"https://orcid.org/0000-0002-0913-0835"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentaro Saito","raw_affiliation_strings":["Tokyo Institute of Technology,Department of Transdisciplinary Science and Engineering,Tokyo,Japan","Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology,Department of Transdisciplinary Science and Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025447890","display_name":"Jun\u2010ichi Takada","orcid":"https://orcid.org/0000-0002-9108-3010"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun-ichi Takada","raw_affiliation_strings":["Tokyo Institute of Technology,Department of Transdisciplinary Science and Engineering,Tokyo,Japan","Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology,Department of Transdisciplinary Science and Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Transdisciplinary Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5025744954"],"corresponding_institution_ids":["https://openalex.org/I912014387"],"apc_list":null,"apc_paid":null,"fwci":1.6135,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84548892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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":0.9984999895095825,"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/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9876999855041504,"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/ray-tracing","display_name":"Ray tracing (physics)","score":0.7756540775299072},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.745769739151001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7167211174964905},{"id":"https://openalex.org/keywords/distributed-ray-tracing","display_name":"Distributed ray tracing","score":0.573687732219696},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5289682745933533},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4657049775123596},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.451255202293396},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.45097866654396057},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.430310994386673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16605770587921143},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09166908264160156},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08798655867576599},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06635528802871704},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06588265299797058}],"concepts":[{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.7756540775299072},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.745769739151001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167211174964905},{"id":"https://openalex.org/C82744980","wikidata":"https://www.wikidata.org/wiki/Q951513","display_name":"Distributed ray tracing","level":3,"score":0.573687732219696},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5289682745933533},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4657049775123596},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.451255202293396},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.45097866654396057},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.430310994386673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16605770587921143},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09166908264160156},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08798655867576599},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06635528802871704},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06588265299797058},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc54779.2022.9977926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc54779.2022.9977926","pdf_url":null,"source":{"id":"https://openalex.org/S4363605306","display_name":"2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2152864241","https://openalex.org/W2737114104","https://openalex.org/W3124957383","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W3096424663","https://openalex.org/W2056515508","https://openalex.org/W4292572148","https://openalex.org/W1481034383","https://openalex.org/W206388321","https://openalex.org/W2016794924","https://openalex.org/W2103210990","https://openalex.org/W4226101411","https://openalex.org/W2100978696","https://openalex.org/W1982532763"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3,50,73],"the":[4,16,38,47,63,66],"spread":[5],"of":[6,65],"local":[7,14],"networks":[8],"such":[9],"as":[10],"IoT":[11],"services":[12],"and":[13,82],"5G,":[15],"desire":[17],"to":[18,45,91],"do":[19],"radiowave":[20],"propagation":[21],"simulations":[22],"are":[23],"increasing.":[24],"For":[25],"indoor":[26,48,93],"environments,":[27],"creating":[28],"a":[29,35,43],"digital":[30],"simulation":[31,69],"model":[32,49],"can":[33,88],"be":[34,89],"burden":[36],"for":[37,57,95],"user.":[39],"This":[40],"paper":[41],"proposes":[42],"method":[44,87],"reconstruct":[46],"objects":[51],"from":[52],"3D":[53],"point":[54],"cloud":[55],"data":[56],"ray":[58,96],"tracing":[59,97],"simulations.":[60,98],"To":[61],"test":[62],"usability":[64],"reconstructed":[67],"model,":[68],"results":[70,78],"were":[71],"compared":[72],"channel":[74],"sounding":[75],"measurements.":[76],"The":[77],"gave":[79],"good":[80],"agreement":[81],"implied":[83],"that":[84],"our":[85],"proposed":[86],"used":[90],"make":[92],"models":[94]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}