{"id":"https://openalex.org/W2969152418","doi":"https://doi.org/10.1109/icra.2019.8793916","title":"Automatic Labeled LiDAR Data Generation based on Precise Human Model","display_name":"Automatic Labeled LiDAR Data Generation based on Precise Human Model","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2969152418","doi":"https://doi.org/10.1109/icra.2019.8793916","mag":"2969152418"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2019.8793916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004607847","display_name":"Wonjik Kim","orcid":"https://orcid.org/0000-0003-1067-8096"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wonjik Kim","raw_affiliation_strings":["Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040292386","display_name":"Masayuki Tanaka","orcid":"https://orcid.org/0000-0002-5756-1904"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Tanaka","raw_affiliation_strings":["Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024453747","display_name":"Masatoshi Okutomi","orcid":"https://orcid.org/0000-0001-5787-0742"},"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":"Masatoshi Okutomi","raw_affiliation_strings":["Department of Systems and Control Engineering, Tokyo Institute of Technology, Meguto-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems and Control Engineering, Tokyo Institute of Technology, Meguto-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102748358","display_name":"Yoko Sasaki","orcid":"https://orcid.org/0000-0002-1220-6124"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoko Sasaki","raw_affiliation_strings":["Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Koto-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"abs 1710 7368","issue":null,"first_page":"43","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9994000196456909,"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":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.8243666887283325},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.8165857195854187},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6209181547164917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5870664715766907},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5832684636116028},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5440499186515808},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5015459060668945},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.47194188833236694},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.446171373128891},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44555050134658813},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43978801369667053},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4286400079727173},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42729100584983826},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4026581645011902},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1277053952217102},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10660314559936523}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8243666887283325},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.8165857195854187},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6209181547164917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5870664715766907},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5832684636116028},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5440499186515808},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5015459060668945},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.47194188833236694},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.446171373128891},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44555050134658813},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43978801369667053},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4286400079727173},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42729100584983826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4026581645011902},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1277053952217102},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10660314559936523},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2019.8793916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2019.8793916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W586034241","https://openalex.org/W747418368","https://openalex.org/W996338270","https://openalex.org/W1502812137","https://openalex.org/W1522301498","https://openalex.org/W1563795667","https://openalex.org/W1594368566","https://openalex.org/W1602922970","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1966456026","https://openalex.org/W2001881450","https://openalex.org/W2022508996","https://openalex.org/W2125416623","https://openalex.org/W2150066425","https://openalex.org/W2272377205","https://openalex.org/W2332618872","https://openalex.org/W2487365028","https://openalex.org/W2559597482","https://openalex.org/W2560609797","https://openalex.org/W2578377659","https://openalex.org/W2630837129","https://openalex.org/W2962912109","https://openalex.org/W2963591054","https://openalex.org/W2963730616","https://openalex.org/W2964121744","https://openalex.org/W6617210626","https://openalex.org/W6631190155","https://openalex.org/W6633802082","https://openalex.org/W6722836162","https://openalex.org/W6739696289","https://openalex.org/W6745621121","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W3016928466","https://openalex.org/W2562256921","https://openalex.org/W4313588532","https://openalex.org/W4401571341","https://openalex.org/W3000197790","https://openalex.org/W4285322112","https://openalex.org/W4292794239"],"abstract_inverted_index":{"Following":[0],"improvements":[1],"in":[2],"deep":[3],"neural":[4],"networks,":[5],"state-of-the-art":[6],"networks":[7,25],"have":[8],"been":[9],"proposed":[10,103],"for":[11,65],"human":[12,80],"recognition":[13],"using":[14],"point":[15],"clouds":[16],"captured":[17],"by":[18,41,101],"LiDAR.":[19],"However,":[20],"the":[21,29,47,102,109,112],"performance":[22],"of":[23,87,111,119],"these":[24],"strongly":[26],"depends":[27],"on":[28],"training":[30,36],"data.":[31,94],"An":[32],"issue":[33],"with":[34,117],"collecting":[35],"data":[37,62,73,99,115],"is":[38,43],"labeling.":[39],"Labeling":[40],"humans":[42],"necessary":[44],"to":[45],"obtain":[46],"ground":[48],"truth":[49],"label;":[50],"however,":[51],"labeling":[52],"requires":[53],"huge":[54],"costs.":[55],"Therefore,":[56],"we":[57,67],"propose":[58],"an":[59],"automatic":[60],"labeled":[61],"generation":[63,74],"pipeline,":[64],"which":[66],"can":[68],"change":[69],"any":[70],"parameters":[71],"or":[72],"environments.":[75],"Our":[76],"approach":[77],"uses":[78],"a":[79,85],"model":[81],"named":[82],"Dhaiba":[83],"and":[84,89,114],"background":[86],"Miraikan":[88],"consequently":[90],"generated":[91,100],"realistic":[92],"artificial":[93],"We":[95],"present":[96],"500k":[97],"+":[98],"pipeline.":[104],"This":[105],"paper":[106],"also":[107],"describes":[108],"specification":[110],"pipeline":[113],"details":[116],"evaluations":[118],"various":[120],"approaches.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
