{"id":"https://openalex.org/W2905188878","doi":"https://doi.org/10.1109/iccais.2018.8570467","title":"Sparse Pointcloud Map Fusion of Multi-Robot System","display_name":"Sparse Pointcloud Map Fusion of Multi-Robot System","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2905188878","doi":"https://doi.org/10.1109/iccais.2018.8570467","mag":"2905188878"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2018.8570467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5010912358","display_name":"Shiqin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Changshu Institute of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiqin Sun","raw_affiliation_strings":["School of Electrical & Automatic Engineering, Changshu institute of Technology, Changshu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Automatic Engineering, Changshu institute of Technology, Changshu, P.R. China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038564706","display_name":"Benlian Xu","orcid":"https://orcid.org/0000-0002-6709-6583"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Changshu Institute of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benlian Xu","raw_affiliation_strings":["School of Electrical & Automatic Engineering, Changshu institute of Technology, Changshu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Automatic Engineering, Changshu institute of Technology, Changshu, P.R. China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059795750","display_name":"Yidan Sun","orcid":"https://orcid.org/0000-0002-0055-4754"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Changshu Institute of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidan Sun","raw_affiliation_strings":["School of Electrical & Automatic Engineering, Changshu institute of Technology, Changshu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Automatic Engineering, Changshu institute of Technology, Changshu, P.R. China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011366986","display_name":"Zhen Sun","orcid":"https://orcid.org/0000-0003-0551-3553"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Changshu Institute of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Sun","raw_affiliation_strings":["School of Electrical & Automatic Engineering, Changshu institute of Technology, Changshu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Automatic Engineering, Changshu institute of Technology, Changshu, P.R. China","institution_ids":["https://openalex.org/I21741975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010912358"],"corresponding_institution_ids":["https://openalex.org/I21741975"],"apc_list":null,"apc_paid":null,"fwci":0.8872,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82072671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"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":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7222588658332825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7079314589500427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7048949003219604},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6777575612068176},{"id":"https://openalex.org/keywords/global-map","display_name":"Global Map","score":0.6755535006523132},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5577672123908997},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5437447428703308},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4827815592288971},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47321027517318726},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4297918379306793},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.42845618724823},{"id":"https://openalex.org/keywords/key-frame","display_name":"Key frame","score":0.4267064929008484},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.41311365365982056},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24539998173713684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16499063372612}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7222588658332825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7079314589500427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7048949003219604},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6777575612068176},{"id":"https://openalex.org/C2779188883","wikidata":"https://www.wikidata.org/wiki/Q82446","display_name":"Global Map","level":3,"score":0.6755535006523132},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5577672123908997},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5437447428703308},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4827815592288971},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47321027517318726},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4297918379306793},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.42845618724823},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.4267064929008484},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.41311365365982056},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24539998173713684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16499063372612},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais.2018.8570467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2018.8570467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":10,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1532362218","https://openalex.org/W1583132079","https://openalex.org/W1989484209","https://openalex.org/W1990186220","https://openalex.org/W2128017662","https://openalex.org/W2134250996","https://openalex.org/W2535547924","https://openalex.org/W3102327032","https://openalex.org/W4241431727"],"related_works":["https://openalex.org/W2394005538","https://openalex.org/W2352751678","https://openalex.org/W2379084545","https://openalex.org/W1614340030","https://openalex.org/W2347909549","https://openalex.org/W2810201907","https://openalex.org/W2883485470","https://openalex.org/W2976539379","https://openalex.org/W2031583356","https://openalex.org/W3128420010"],"abstract_inverted_index":{"Map":[0],"building":[1,29],"is":[2,51,81,133,143,180],"a":[3,37,62,69,100,109,119],"crucial":[4],"function":[5],"of":[6,20,48,57,104,112,121,193],"multi-robot":[7,15,49],"system,":[8],"and":[9,138,160,168,186],"many":[10],"available":[11],"autonomous":[12],"navigations":[13],"in":[14,27,36,172,182],"systems":[16],"assume":[17],"high":[18],"precision":[19],"the":[21,33,55,58,75,96,127,152,162,165,169,173,187,191,194],"environmental":[22],"map.":[23,65],"Thus,":[24,108],"poor":[25],"performance":[26],"map":[28,123,154,170],"can":[30,115],"heavily":[31],"affect":[32],"navigation":[34],"results":[35,189],"large-scale":[38],"environment.":[39],"The":[40,87,178],"core":[41],"issue":[42],"that":[43],"needs":[44],"to":[45,53,83,90,99,145],"be":[46,91,116],"addressed":[47],"mapping":[50],"how":[52],"integrate":[54],"data":[56],"different":[59],"robots":[60],"into":[61],"single":[63],"global":[64],"In":[66],"this":[67],"paper,":[68],"matching":[70,85],"search":[71],"strategy":[72],"based":[73],"on":[74],"co-viewing":[76],"relationship":[77],"between":[78,130,164],"key":[79,88,166],"frames":[80,89,167],"proposed":[82,195],"reduce":[84],"time.":[86],"matched":[92,106,122,131],"are":[93,125,158,176],"selected":[94],"from":[95],"maps":[97,175],"according":[98],"certain":[101],"condition":[102],"instead":[103],"being":[105],"individually.":[107],"considerable":[110],"amount":[111],"match":[113],"time":[114],"saved.":[117],"After":[118],"set":[120],"points":[124,132,155,171],"obtained,":[126],"motion":[128],"estimation":[129],"solved":[134],"by":[135],"nonlinear":[136],"optimization":[137],"an":[139,183],"error":[140],"compensation":[141],"technique":[142],"employed":[144],"obtain":[146],"more":[147],"accurate":[148],"camera":[149],"posture.":[150],"Finally,":[151],"redundant":[153],"after":[156],"fusion":[157],"removed,":[159],"both":[161],"connection":[163],"two":[174],"established.":[177],"algorithm":[179],"tested":[181],"indoor":[184],"environment":[185],"experiment":[188],"show":[190],"validness":[192],"method.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
