{"id":"https://openalex.org/W2741008920","doi":"https://doi.org/10.1109/ivs.2017.7995959","title":"Continuous point cloud data compression using SLAM based prediction","display_name":"Continuous point cloud data compression using SLAM based prediction","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2741008920","doi":"https://doi.org/10.1109/ivs.2017.7995959","mag":"2741008920"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2017.7995959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","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/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":["Media Science, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Media Science, 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":["Media Science, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Media Science, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108524583","display_name":"Chiyomi Miyajima","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":"Chiyomi Miyajima","raw_affiliation_strings":["Media Science, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Media Science, 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":["Media Science, Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Media Science, 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":null,"apc_paid":null,"fwci":6.5321,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.96730894,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1744","last_page":"1751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9969000220298767,"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":0.8460134267807007},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8373157978057861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5603727102279663},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5571368932723999},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5301880240440369},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5172874927520752},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.49883151054382324},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4932076334953308},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4721636474132538},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4439963698387146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4055285155773163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8460134267807007},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8373157978057861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5603727102279663},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5571368932723999},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5301880240440369},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5172874927520752},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.49883151054382324},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4932076334953308},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4721636474132538},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4439963698387146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4055285155773163},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2017.7995959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","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":27,"referenced_works":["https://openalex.org/W355554815","https://openalex.org/W1495194439","https://openalex.org/W1529450504","https://openalex.org/W1594515732","https://openalex.org/W1603895355","https://openalex.org/W1997917718","https://openalex.org/W2025953558","https://openalex.org/W2069858170","https://openalex.org/W2079251747","https://openalex.org/W2096143401","https://openalex.org/W2115650263","https://openalex.org/W2115907784","https://openalex.org/W2137985019","https://openalex.org/W2139137304","https://openalex.org/W2151724372","https://openalex.org/W2153638435","https://openalex.org/W2167724667","https://openalex.org/W2206222117","https://openalex.org/W2217530659","https://openalex.org/W2488097972","https://openalex.org/W2517186508","https://openalex.org/W2532629912","https://openalex.org/W2567458831","https://openalex.org/W6631686956","https://openalex.org/W6635563366","https://openalex.org/W6725836287","https://openalex.org/W6731928466"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"Interest":[0],"in":[1,15,85,121,220],"continuous":[2,29],"point":[3,30,56,94,117,151,196],"cloud":[4,31,55,95,152,197],"data":[5,32,44,57,67,96],"has":[6,58],"increased":[7],"rapidly":[8],"as":[9,19],"it":[10],"becomes":[11],"more":[12],"widely":[13],"used":[14],"practical":[16],"applications,":[17],"such":[18],"the":[20,40,66,79,113,147,159,191,212,235],"development":[21],"of":[22,43,53,82,91,116,146,150,162,233],"autonomous":[23,83],"driving":[24],"systems.":[25],"Sharing":[26],"and":[27,36,101,132,138,168,173],"storing":[28],"is":[33],"currently":[34],"expensive":[35],"difficult":[37],"due":[38],"to":[39,111,193],"huge":[41],"volume":[42],"involved,":[45],"however.":[46,119],"As":[47],"a":[48,89,126,154,230],"result,":[49],"developing":[50],"efficient":[51],"methods":[52,64,100,107,219],"compressing":[54,92],"become":[59],"an":[60],"urgent":[61],"task.":[62,200],"Current":[63],"compress":[65],"directly":[68],"using":[69,97,130],"tree":[70],"structures":[71],"or":[72],"height":[73],"map-based":[74],"methods.":[75,241],"Taking":[76],"into":[77],"consideration":[78],"specialized":[80],"requirements":[81],"driving,":[84],"[1]":[86],"we":[87,124],"proposed":[88,186,213],"method":[90,129,142,215,237],"raw":[93],"image":[98,217,239],"compression":[99,128,170,199],"obtained":[102],"superior":[103],"results.":[104],"Image":[105],"compression-based":[106,218,240],"are":[108,171,180],"not":[109],"able":[110],"utilize":[112],"3D":[114,148,163],"characteristics":[115],"clouds,":[118],"Therefore,":[120],"this":[122,188,203],"paper":[123,189],"propose":[125],"new":[127],"location":[131],"orientation":[133],"information":[134],"from":[135,166],"Simultaneous":[136],"Localization":[137],"Mapping":[139],"(SLAM).":[140],"Proposed":[141],"can":[143,177],"take":[144],"advantage":[145],"characteristic":[149],"by":[153],"predicting":[155],"process":[156,205],"which":[157,176],"simulating":[158],"working":[160],"procedure":[161],"LiDAR.":[164],"Strategies":[165],"MPEG":[167],"DPCM":[169],"utilized":[172],"several":[174],"issues":[175],"affect":[178],"performance":[179],"discussed.":[181],"In":[182],"addition,":[183],"based":[184],"on":[185],"method,":[187],"discusses":[190],"ways":[192],"segment":[194],"steam":[195],"for":[198],"We":[201,209],"call":[202],"segmentation":[204],"adaptive":[206],"sequence":[207],"decision.":[208],"then":[210],"compare":[211],"SLAM-based":[214,236],"with":[216],"various":[221],"situations.":[222],"Our":[223],"experimental":[224],"results":[225],"show":[226],"that,":[227],"while":[228],"requiring":[229],"small":[231],"margin":[232],"error,":[234],"outperforms":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}