{"id":"https://openalex.org/W2593936264","doi":"https://doi.org/10.1109/robio.2016.7866543","title":"Visual and LiDAR-based for the mobile 3D mapping","display_name":"Visual and LiDAR-based for the mobile 3D mapping","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2593936264","doi":"https://doi.org/10.1109/robio.2016.7866543","mag":"2593936264"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2016.7866543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2016.7866543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5101809098","display_name":"Qiao Wu","orcid":"https://orcid.org/0000-0003-2705-3850"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Wu","raw_affiliation_strings":["Ministry of Education, Wuhan University of Technology, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066580707","display_name":"Kai Sun","orcid":"https://orcid.org/0000-0002-9482-470X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Sun","raw_affiliation_strings":["Leador Spatial Information Technology Corporation, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leador Spatial Information Technology Corporation, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447801","display_name":"Wenjun Zhang","orcid":"https://orcid.org/0000-0001-7973-8769"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenjun Zhang","raw_affiliation_strings":["Leador Spatial Information Technology Corporation, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leador Spatial Information Technology Corporation, Wuhan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028686941","display_name":"Chaobing Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaobing Huang","raw_affiliation_strings":["Ministry of Education, Wuhan University of Technology, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103739119","display_name":"Xiaochun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Wu","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, Wuhan, hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, hubei, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.0436,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98377888,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2016","issue":null,"first_page":"1527","last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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":1.0,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8694190979003906},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8582543134689331},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7676087021827698},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.7662649154663086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.749131441116333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7084172964096069},{"id":"https://openalex.org/keywords/mobile-mapping","display_name":"Mobile mapping","score":0.6150805950164795},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.608352780342102},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.546425461769104},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4779634177684784},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4628089964389801},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4487147927284241},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.427334189414978},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33348435163497925},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2987027168273926},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21818825602531433},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.13181501626968384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10140463709831238},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.098408043384552}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8694190979003906},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8582543134689331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7676087021827698},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.7662649154663086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749131441116333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7084172964096069},{"id":"https://openalex.org/C2776821279","wikidata":"https://www.wikidata.org/wiki/Q2293902","display_name":"Mobile mapping","level":3,"score":0.6150805950164795},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.608352780342102},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.546425461769104},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4779634177684784},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4628089964389801},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4487147927284241},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.427334189414978},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33348435163497925},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2987027168273926},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21818825602531433},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.13181501626968384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10140463709831238},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.098408043384552},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robio.2016.7866543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2016.7866543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},{"id":"mag:2750425296","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702243877556571","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W612478963","https://openalex.org/W1612997784","https://openalex.org/W1973080743","https://openalex.org/W1989484209","https://openalex.org/W2024908906","https://openalex.org/W2034700821","https://openalex.org/W2064451896","https://openalex.org/W2096020743","https://openalex.org/W2099940712","https://openalex.org/W2108833445","https://openalex.org/W2130422193","https://openalex.org/W2146160736","https://openalex.org/W2148820580","https://openalex.org/W2153054365","https://openalex.org/W2296754596","https://openalex.org/W2336416123","https://openalex.org/W2535722635","https://openalex.org/W3103648783","https://openalex.org/W3143773258","https://openalex.org/W3152092885","https://openalex.org/W6679318581","https://openalex.org/W6681587975","https://openalex.org/W6682324061"],"related_works":["https://openalex.org/W3039299368","https://openalex.org/W3083006002","https://openalex.org/W4378194305","https://openalex.org/W3206634034","https://openalex.org/W3161266721","https://openalex.org/W4366987497","https://openalex.org/W1980655679","https://openalex.org/W4379793640","https://openalex.org/W2770320365","https://openalex.org/W2991246638"],"abstract_inverted_index":{"Multi-sensors":[0],"fusion":[1],"to":[2,34,36,51,80,97,102,117,130],"construct":[3],"an":[4,32],"accurate":[5],"3D":[6,54,120,141],"map":[7,40,55,142],"about":[8],"unknown":[9,46],"indoor":[10,43],"scene":[11],"and":[12,18,49,57,73],"outdoor":[13,45],"in":[14,108],"the":[15,38,42,53,63,85,99,119,124,132],"simultaneous":[16],"localization":[17],"mapping":[19],"(SLAM)":[20],"area":[21],"is":[22],"becoming":[23],"increasingly":[24],"popular.":[25],"In":[26],"this":[27,60],"paper":[28,61],"our":[29,148],"methods":[30,149],"pay":[31],"attention":[33],"how":[35,50],"optimize":[37],"2D":[39,66,78,82,100],"from":[41,126],"or":[44],"large-scale":[47],"environment":[48],"make":[52],"intuitive":[56],"accurate.":[58],"Firstly,":[59],"accomplished":[62],"calibration":[64],"between":[65],"Light":[67],"Detection":[68],"And":[69],"Ranging":[70],"sensor":[71],"(LiDAR)":[72],"panoramic":[74,128],"camera,":[75],"using":[76,123],"horizontal":[77],"LiDAR":[79,113],"finish":[81],"SLAM.":[83],"Then":[84],"new":[86],"method":[87],"that":[88,147],"closed-loop":[89],"detection":[90],"was":[91,95,115],"based":[92],"on":[93],"visual":[94],"used":[96],"assist":[98],"SLAM":[101],"get":[103,118],"a":[104,127],"better":[105],"optimization":[106],"result":[107,138],"sub-maps":[109],"efficiently.":[110],"Finally,":[111],"vertical":[112],"data":[114],"added":[116],"point":[121,135],"cloud,":[122],"images":[125],"camera":[129],"accomplish":[131],"registration":[133],"with":[134,143],"cloud.":[136],"The":[137],"of":[139],"final":[140],"RGB":[144],"information":[145],"demonstrated":[146],"are":[150],"feasible.":[151]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
