{"id":"https://openalex.org/W2967494177","doi":"https://doi.org/10.1109/access.2019.2935253","title":"Real-Time Streaming Point Cloud Compression for 3D LiDAR Sensor Using U-Net","display_name":"Real-Time Streaming Point Cloud Compression for 3D LiDAR Sensor Using U-Net","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2967494177","doi":"https://doi.org/10.1109/access.2019.2935253","mag":"2967494177"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2935253","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935253","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798629.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798629.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049344283","display_name":"Chenxi Tu","orcid":"https://orcid.org/0000-0003-0769-4407"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Chenxi Tu","raw_affiliation_strings":["Department of Intelligent System, Nagoya University, Nagoya, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0769-4407","affiliations":[{"raw_affiliation_string":"Department of Intelligent System, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113688124","display_name":"Eijiro Takeuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eijiro Takeuchi","raw_affiliation_strings":["Department of Intelligent System, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent System, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037312161","display_name":"Alexander Carballo","orcid":"https://orcid.org/0000-0002-5941-2195"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Alexander Carballo","raw_affiliation_strings":["Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042118446","display_name":"Kazuya Takeda","orcid":"https://orcid.org/0000-0002-0330-1787"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuya Takeda","raw_affiliation_strings":["Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049344283"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":17.9033,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.99151318,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"113616","last_page":"113625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.8525453805923462},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7681723833084106},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6738511919975281},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5990078449249268},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5461408495903015},{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.5149899125099182},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45358848571777344},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.44288498163223267},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.30047330260276794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.28426021337509155},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06904461979866028}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8525453805923462},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7681723833084106},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6738511919975281},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5990078449249268},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5461408495903015},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.5149899125099182},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45358848571777344},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.44288498163223267},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.30047330260276794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28426021337509155},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06904461979866028},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2935253","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935253","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798629.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e6f1d3226a174036b160025f709d45a4","is_oa":true,"landing_page_url":"https://doaj.org/article/e6f1d3226a174036b160025f709d45a4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 113616-113625 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2935253","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935253","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08798629.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G2521286739","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"}],"funders":[{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2967494177.pdf","grobid_xml":"https://content.openalex.org/works/W2967494177.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W355554815","https://openalex.org/W1495194439","https://openalex.org/W1498318113","https://openalex.org/W1529450504","https://openalex.org/W1594515732","https://openalex.org/W1932847118","https://openalex.org/W1989305571","https://openalex.org/W1997917718","https://openalex.org/W2021851106","https://openalex.org/W2025953558","https://openalex.org/W2069858170","https://openalex.org/W2115579991","https://openalex.org/W2115650263","https://openalex.org/W2137985019","https://openalex.org/W2139137304","https://openalex.org/W2153638435","https://openalex.org/W2154074842","https://openalex.org/W2167724667","https://openalex.org/W2187463565","https://openalex.org/W2217530659","https://openalex.org/W2348664362","https://openalex.org/W2532629912","https://openalex.org/W2567458831","https://openalex.org/W2586480386","https://openalex.org/W2741008920","https://openalex.org/W2741653487","https://openalex.org/W2755280892","https://openalex.org/W2963093735","https://openalex.org/W2963149687","https://openalex.org/W2963268050","https://openalex.org/W2964251418","https://openalex.org/W2968591670","https://openalex.org/W6629469057","https://openalex.org/W6631686956","https://openalex.org/W6635563366","https://openalex.org/W6731928466"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2392034603","https://openalex.org/W2352029666","https://openalex.org/W4200108838"],"abstract_inverted_index":{"Point":[0],"cloud":[1,74,116,135,146],"data":[2,42,89,117,126,147,193],"from":[3,127],"LiDAR":[4,128,167,192],"sensors":[5],"is":[6,194],"the":[7,9,38,165,216],"currently":[8],"basis":[10],"of":[11,41,51,177,219,225],"most":[12],"L4":[13],"autonomous":[14],"driving":[15],"systems.":[16],"Sharing":[17],"and":[18,53,105,142,159,203,237],"storing":[19,44,68],"point":[20,45,55,73,115,134,145],"clouds":[21,46,56],"will":[22],"also":[23],"be":[24],"important":[25],"for":[26],"future":[27],"applications,":[28],"such":[29,77],"as":[30,78,156],"accident":[31],"investigation":[32],"or":[33,69,81],"V2V/V2X":[34],"networks.":[35],"Due":[36],"to":[37,163,214],"huge":[39],"volume":[40],"involved,":[43],"collected":[47],"over":[48],"long":[49],"periods":[50],"time":[52],"transmitting":[54],"in":[57,90,107,138,187,191],"real-time":[58,91,113],"are":[59],"difficult":[60],"tasks,":[61],"making":[62],"compression":[63,75,80,118,204,236,242],"an":[64],"indispensable":[65],"step":[66],"before":[67],"transmitting.":[70],"Previous":[71],"streaming":[72,114,144],"methods,":[76],"octree":[79,233],"video":[82,183],"compression-based":[83],"approaches,":[84],"have":[85],"difficulty":[86],"compressing":[87],"this":[88,108,207,220],"into":[92,148],"very":[93],"small":[94],"volumes":[95],"with":[96],"low":[97],"information":[98,136],"loss.":[99],"To":[100],"reduce":[101,172],"temporal":[102,173],"redundancy":[103],"efficiently":[104],"rapidly,":[106],"paper":[109],"we":[110,130,169,209],"propose":[111,210],"a":[112,139,149,182,195,211,223],"method":[119,230],"using":[120,161],"U-net.":[121],"By":[122,152],"utilizing":[123],"raw":[124],"packet":[125],"sensors,":[129],"can":[131,170,231],"store":[132],"3D":[133],"losslessly":[137],"2D":[140],"matrix,":[141],"convert":[143],"video-like":[150],"format.":[151],"designating":[153],"some":[154],"frames":[155,158],"reference":[157],"then":[160],"U-net":[162,178],"interpolate":[164],"remaining":[166],"frames,":[168],"greatly":[171],"redundancy.":[174],"Our":[175],"use":[176],"was":[179],"inspired":[180],"by":[181],"interpolation":[184],"approach":[185],"employed":[186],"another":[188],"study.":[189],"Noise":[190],"big":[196],"issue":[197],"which":[198],"significantly":[199],"affects":[200],"network":[201],"training":[202],"results.":[205],"In":[206],"paper,":[208],"padding":[212],"strategy":[213],"alleviate":[215],"negative":[217],"impact":[218],"noise.":[221],"As":[222],"result":[224],"these":[226],"improvements,":[227],"our":[228,238],"proposed":[229,240],"outperform":[232],"compression,":[234],"MPEG-based":[235],"previously":[239],"SLAM-based":[241],"method.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}