{"id":"https://openalex.org/W3043597883","doi":"https://doi.org/10.1109/lra.2020.3010207","title":"A Novel Coding Architecture for LiDAR Point Cloud Sequence","display_name":"A Novel Coding Architecture for LiDAR Point Cloud Sequence","publication_year":2020,"publication_date":"2020-07-17","ids":{"openalex":"https://openalex.org/W3043597883","doi":"https://doi.org/10.1109/lra.2020.3010207","mag":"3043597883"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2020.3010207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.3010207","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-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/A5052764499","display_name":"Xuebin Sun","orcid":"https://orcid.org/0000-0002-4867-2282"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xuebin Sun","raw_affiliation_strings":["Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong","Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-4867-2282","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012059040","display_name":"Sukai Wang","orcid":"https://orcid.org/0000-0003-0491-8065"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sukai Wang","raw_affiliation_strings":["Department of Electronic & Computer Engineering, Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-0491-8065","affiliations":[{"raw_affiliation_string":"Department of Electronic & Computer Engineering, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080596209","display_name":"Miaohui Wang","orcid":"https://orcid.org/0000-0003-1125-9299"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaohui Wang","raw_affiliation_strings":["College of Electrical and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1125-9299","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045214230","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0002-7726-0770"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Department of Mechanical Engineering, University of Hong Kong, Hong Kong","Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7726-0770","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100347785","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0002-4500-238X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ming Liu","raw_affiliation_strings":["Department of Electronic & Computer Engineering, Hong Kong University of Science and Technology, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-4500-238X","affiliations":[{"raw_affiliation_string":"Department of Electronic & Computer Engineering, Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052764499"],"corresponding_institution_ids":["https://openalex.org/I177725633","https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":1.5694,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.85587734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"5","issue":"4","first_page":"5637","last_page":"5644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7785943746566772},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7757015228271484},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7203764915466309},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5963054895401001},{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.5593057870864868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5498882532119751},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5369247198104858},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5105603933334351},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.48912864923477173},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48546913266181946},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4391584098339081},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4332198202610016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2667919099330902},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.24302351474761963},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2218659222126007},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10283148288726807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09647008776664734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785943746566772},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7757015228271484},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7203764915466309},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5963054895401001},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.5593057870864868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498882532119751},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5369247198104858},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5105603933334351},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.48912864923477173},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48546913266181946},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4391584098339081},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4332198202610016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2667919099330902},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.24302351474761963},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2218659222126007},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10283148288726807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09647008776664734},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lra.2020.3010207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2020.3010207","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-105515","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-105515","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-105515","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2377-3766&rft.volume=v. 5&rft.issue=(4)&rft.date=2020&rft.spage=5637&rft.aulast=Sun&rft.aufirst=X.&rft.atitle=A+Novel+Coding+Architecture+for+LiDAR+Point+Cloud+Sequence&rft.title=IEEE+Robotics+and+Automation+Letters","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3651748204","display_name":null,"funder_award_id":"61701310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4426157238","display_name":null,"funder_award_id":"61902251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6157214726","display_name":null,"funder_award_id":"2019A1515010961","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1498318113","https://openalex.org/W1577532874","https://openalex.org/W1997917718","https://openalex.org/W2003554791","https://openalex.org/W2074954154","https://openalex.org/W2083624955","https://openalex.org/W2115579991","https://openalex.org/W2146192635","https://openalex.org/W2152864241","https://openalex.org/W2159963127","https://openalex.org/W2167724667","https://openalex.org/W2170208355","https://openalex.org/W2181792080","https://openalex.org/W2187463565","https://openalex.org/W2286803010","https://openalex.org/W2319503556","https://openalex.org/W2341115255","https://openalex.org/W2567458831","https://openalex.org/W2612846056","https://openalex.org/W2741008920","https://openalex.org/W2765276707","https://openalex.org/W2889874857","https://openalex.org/W2917690002","https://openalex.org/W2967494177","https://openalex.org/W2968591670","https://openalex.org/W3157685993","https://openalex.org/W4285719527","https://openalex.org/W4294554810","https://openalex.org/W6713563955","https://openalex.org/W6731928466","https://openalex.org/W6737209231"],"related_works":["https://openalex.org/W2776826689","https://openalex.org/W2145484806","https://openalex.org/W2348653124","https://openalex.org/W2089908184","https://openalex.org/W2392270594","https://openalex.org/W2156453104","https://openalex.org/W2773541276","https://openalex.org/W4200108838","https://openalex.org/W2392034603","https://openalex.org/W2352029666"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3,44,66,102],"propose":[4],"a":[5,36,52,68,89,104],"novel":[6,69],"coding":[7,55,63,70],"architecture":[8,71],"for":[9,72],"LiDAR":[10,21,47],"point":[11,22,48,74],"cloud":[12,75],"sequences":[13],"based":[14],"on":[15,132],"clustering":[16],"and":[17,85,157],"prediction":[18,105],"neural":[19],"networks.":[20],"clouds":[23,49],"are":[24,79],"structured,":[25],"which":[26,112],"provides":[27],"an":[28,143],"opportunity":[29],"to":[30,35,95,120],"convert":[31],"the":[32,46,59,73,97,121,125,133,139],"3D":[33],"data":[34,135],"2D":[37],"array,":[38],"represented":[39],"as":[40,51],"range":[41,53],"images.":[42],"Thus,":[43,124],"cast":[45],"compression":[50,145,168],"images":[54],"problem.":[56],"Inspired":[57],"by":[58],"high":[60],"efficiency":[61],"video":[62],"(HEVC)":[64],"algorithm,":[65],"design":[67,103],"sequence.":[76],"The":[77],"scans":[78],"divided":[80],"into":[81],"two":[82],"categories:":[83],"intra-frames":[84],"inter-frames.":[86],"For":[87,100],"intra-frames,":[88],"cluster-based":[90],"intra-prediction":[91],"technique":[92],"is":[93,113],"utilized":[94],"remove":[96],"spatial":[98],"redundancy.":[99],"inter-frames,":[101],"network":[106],"model":[107],"using":[108],"convolutional":[109],"LSTM":[110],"cells,":[111],"capable":[114],"of":[115],"predicting":[116],"future":[117],"inter-frames":[118],"according":[119],"encoded":[122],"intra-frames.":[123],"temporal":[126],"redundancy":[127],"can":[128],"be":[129],"removed.":[130],"Experiments":[131],"KITTI":[134],"set":[136],"show":[137],"that":[138],"proposed":[140],"method":[141],"achieves":[142],"impressive":[144],"ratio,":[146],"with":[147,153],"4.10%":[148],"at":[149],"millimeter":[150],"precision.":[151],"Compared":[152],"octree,":[154],"Google":[155],"Draco":[156],"MPEG":[158],"TMC13":[159],"methods,":[160],"our":[161],"scheme":[162],"also":[163],"yields":[164],"better":[165],"performance":[166],"in":[167],"ratio.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2025-10-10T00:00:00"}
