{"id":"https://openalex.org/W3184381418","doi":"https://doi.org/10.1145/3468784.3469950","title":"Investigation of SIFT and ORB descriptors for Indoor Maps Fusion for the Multi-agent mobile robots","display_name":"Investigation of SIFT and ORB descriptors for Indoor Maps Fusion for the Multi-agent mobile robots","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W3184381418","doi":"https://doi.org/10.1145/3468784.3469950","mag":"3184381418"},"language":"en","primary_location":{"id":"doi:10.1145/3468784.3469950","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468784.3469950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th International Conference on Advances in Information Technology","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017949695","display_name":"Ming-Hsien Chuang","orcid":null},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Ming-Hsien Chuang","raw_affiliation_strings":["Kasetsart University, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kasetsart University, Thailand","institution_ids":["https://openalex.org/I198105771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007400906","display_name":"Kanjanapan Sukvichai","orcid":null},"institutions":[{"id":"https://openalex.org/I198105771","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21","country_code":"TH","type":"education","lineage":["https://openalex.org/I198105771"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kanjanapan Sukvichai","raw_affiliation_strings":["Kasetsart University, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kasetsart University, Thailand","institution_ids":["https://openalex.org/I198105771"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I198105771"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09728912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9994999766349792,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9929999709129333,"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/robot","display_name":"Robot","score":0.7384499311447144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7338446974754333},{"id":"https://openalex.org/keywords/orb","display_name":"Orb (optics)","score":0.732420802116394},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.6613786816596985},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6570664644241333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.645431399345398},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.6050344705581665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5808090567588806},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5723757147789001},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.49990391731262207},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.46256622672080994},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.45211565494537354},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4517214000225067},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.20455363392829895},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14600825309753418}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.7384499311447144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338446974754333},{"id":"https://openalex.org/C108260229","wikidata":"https://www.wikidata.org/wiki/Q47023","display_name":"Orb (optics)","level":3,"score":0.732420802116394},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.6613786816596985},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6570664644241333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.645431399345398},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.6050344705581665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5808090567588806},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5723757147789001},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.49990391731262207},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.46256622672080994},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.45211565494537354},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4517214000225067},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.20455363392829895},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14600825309753418},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3468784.3469950","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3468784.3469950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th International Conference on Advances in Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1532362218","https://openalex.org/W2019085623","https://openalex.org/W2052408227","https://openalex.org/W2117228865","https://openalex.org/W2151103935","https://openalex.org/W2336416123","https://openalex.org/W2806984969","https://openalex.org/W2914250558","https://openalex.org/W2921828145","https://openalex.org/W4242177601"],"related_works":["https://openalex.org/W3103148063","https://openalex.org/W2794556651","https://openalex.org/W4205482147","https://openalex.org/W2763213405","https://openalex.org/W1951615866","https://openalex.org/W4312069198","https://openalex.org/W2905458575","https://openalex.org/W2573918384","https://openalex.org/W3192389065","https://openalex.org/W2809055700"],"abstract_inverted_index":{"There":[0],"are":[1,31,131],"many":[2],"applications":[3],"for":[4],"creating":[5],"an":[6],"indoor":[7,82],"map":[8,91,125,151],"by":[9,148],"a":[10,16,20,25,55,103,140,168],"single":[11,17],"robot":[12,18,88,170],"already.":[13],"When":[14,66],"using":[15],"in":[19,54,193],"large":[21],"working":[22],"space":[23],"like":[24],"factory,":[26],"the":[27,81,144,161,184,187,190,194],"performance":[28],"and":[29,50,62,72,79,85,96,128,139,158,186],"robustness":[30],"needed":[32],"to":[33,42,109,182],"be":[34,156,165,180],"increased.":[35],"Multi-Agent":[36],"Robot":[37,174],"System":[38,176],"(MAR)":[39],"is":[40,60,107,146],"introduced":[41],"meet":[43],"this":[44,117],"requirement.":[45],"MAR":[46,67],"could":[47],"increase":[48],"productivity":[49],"flexibility":[51],"while":[52],"works":[53],"dynamic":[56],"environment":[57,83],"because":[58],"it":[59,76],"modular":[61],"can":[63,77],"work":[64],"simultaneously.":[65,86],"combines":[68],"with":[69,92,134],"Simultaneous":[70],"Localization":[71],"Mapping":[73],"(SLAM)":[74],"technology,":[75],"explore":[78],"discover":[80],"cooperatively":[84],"Each":[87],"creates":[89],"its":[90],"different":[93,113],"initial":[94],"poses":[95],"path":[97],"planning.":[98],"The":[99,153],"main":[100],"issue":[101],"of":[102,124,189],"Multi-Robot":[104],"SLAM":[105],"(MRSLAM)":[106],"how":[108],"combine":[110],"maps":[111],"from":[112],"robots":[114],"correctly.":[115],"In":[116],"research,":[118],"we":[119],"will":[120,155,164,179],"focus":[121],"on":[122,173],"algorithms":[123,145],"merging.":[126],"SIFT":[127],"ORB":[129],"descriptors":[130],"selected":[132],"along":[133],"some":[135],"image":[136],"processing":[137],"techniques,":[138],"proposed":[141,162,191],"approach":[142,163,192],"including":[143],"verified":[147],"general":[149],"benchmark":[150],"data.":[152],"results":[154],"shown":[157],"discussed.":[159],"Then,":[160],"deployed":[166],"into":[167],"real":[169],"platform":[171],"based":[172],"Operating":[175],"(ROS).":[177],"Experiments":[178],"conducted":[181],"prove":[183],"feasibility":[185],"limitation":[188],"real-world":[195],"scenario.":[196]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
