{"id":"https://openalex.org/W2083606815","doi":"https://doi.org/10.1109/iros.2010.5650455","title":"Real-time 3D visual sensor for robust object recognition","display_name":"Real-time 3D visual sensor for robust object recognition","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2083606815","doi":"https://doi.org/10.1109/iros.2010.5650455","mag":"2083606815"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2010.5650455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5650455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5004190563","display_name":"Muhammad Attamimi","orcid":"https://orcid.org/0000-0002-0829-7748"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M Attamimi","raw_affiliation_strings":["Department of Electronic Engineering, University of Electro-Communications, Chofu, Tokyo, Japan","Department of Electronic Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, University of Electro-Communications, Chofu, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Department of Electronic Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087759769","display_name":"Akihiro Mizutani","orcid":"https://orcid.org/0000-0003-4155-802X"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]},{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A Mizutani","raw_affiliation_strings":["Honda Research Institute Japan Company Limited, Wako, Saitama, Japan","Department of Electronic Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Japan Company Limited, Wako, Saitama, Japan","institution_ids":["https://openalex.org/I1283473643"]},{"raw_affiliation_string":"Department of Electronic Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017656130","display_name":"Takayuki Nakamura","orcid":"https://orcid.org/0000-0003-1929-0442"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]},{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T Nakamura","raw_affiliation_strings":["Honda Research Institute Japan Company Limited, Wako, Saitama, Japan","Department of Electronic Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute Japan Company Limited, Wako, Saitama, Japan","institution_ids":["https://openalex.org/I1283473643"]},{"raw_affiliation_string":"Department of Electronic Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103002593","display_name":"Takayuki Nagai","orcid":"https://orcid.org/0000-0003-2778-2180"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T Nagai","raw_affiliation_strings":["Department of Electronic Engineering, University of Electro-Communications, Chofu, Tokyo, Japan","Department of Electronic Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, University of Electro-Communications, Chofu, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Department of Electronic Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052011362","display_name":"Kengo Funakoshi","orcid":"https://orcid.org/0000-0003-4554-6982"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]},{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K Funakoshi","raw_affiliation_strings":["Department of Electronic Engineering, University of Electro-Communications, Chofu, Tokyo, Japan","Honda Research Institute Japan Co. Ltd., 8-1 Honcho, Wako-shi, Saitama 351-0188, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, University of Electro-Communications, Chofu, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Honda Research Institute Japan Co. Ltd., 8-1 Honcho, Wako-shi, Saitama 351-0188, Japan","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085401834","display_name":"Mikio Nakano","orcid":"https://orcid.org/0000-0001-6057-3132"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]},{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M Nakano","raw_affiliation_strings":["Department of Electronic Engineering, University of Electro-Communications, Chofu, Tokyo, Japan","Honda Research Institute Japan Co. Ltd., 8-1 Honcho, Wako-shi, Saitama 351-0188, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, University of Electro-Communications, Chofu, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Honda Research Institute Japan Co. Ltd., 8-1 Honcho, Wako-shi, Saitama 351-0188, Japan","institution_ids":["https://openalex.org/I1283473643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":172.1513,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.99922988,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4560","last_page":"4565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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/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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8569203615188599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8349975347518921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7602790594100952},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.6290965676307678},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5527775883674622},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4979989528656006},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4904055595397949},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46207550168037415},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.42883431911468506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.324653685092926}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8569203615188599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8349975347518921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602790594100952},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6290965676307678},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5527775883674622},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4979989528656006},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4904055595397949},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46207550168037415},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.42883431911468506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.324653685092926}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2010.5650455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2010.5650455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1553512048","https://openalex.org/W1625255723","https://openalex.org/W1988544952","https://openalex.org/W1991108267","https://openalex.org/W2002869830","https://openalex.org/W2105095838","https://openalex.org/W2115552546","https://openalex.org/W2117884586","https://openalex.org/W2135414774","https://openalex.org/W2151103935","https://openalex.org/W2185847129","https://openalex.org/W2295332248","https://openalex.org/W2331118154","https://openalex.org/W2997936244","https://openalex.org/W6636494156","https://openalex.org/W6677104387","https://openalex.org/W6682431704","https://openalex.org/W6686634581"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2975200075","https://openalex.org/W4312857205","https://openalex.org/W2200925278","https://openalex.org/W2732308154","https://openalex.org/W2613077666","https://openalex.org/W1988485990","https://openalex.org/W3177406559","https://openalex.org/W2363840281","https://openalex.org/W2334336442"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,20,60],"novel":[4],"3D":[5,66,76],"measurement":[6],"system,":[7],"which":[8],"yields":[9],"both":[10],"depth":[11],"and":[12,22,75,102,112,139],"color":[13,47,138],"information":[14,48],"in":[15,81,114],"real":[16],"time,":[17],"by":[18,32,54],"calibrating":[19],"time-of-flight":[21],"two":[23,43],"CCD":[24,44],"cameras.":[25],"The":[26,117],"problem":[27],"of":[28,49,87],"occlusions":[29],"is":[30,52,134],"solved":[31],"the":[33,40,65,96,104,121,130],"proposed":[34,122],"fast":[35],"occluded-pixel":[36],"detection":[37],"algorithm.":[38],"Since":[39],"system":[41,97,124,132],"uses":[42],"cameras,":[45],"missing":[46],"occluded":[50],"pixels":[51],"covered":[53],"one":[55],"another.":[56],"We":[57,93],"also":[58],"propose":[59],"robust":[61],"object":[62],"recognition":[63,107,123],"using":[64],"visual":[67],"sensor.":[68],"Multiple":[69],"cues,":[70],"such":[71],"as":[72],"color,":[73],"texture":[74,140],"(depth)":[77],"information,":[78],"are":[79],"integrated":[80],"order":[82],"to":[83],"recognize":[84],"various":[85,115],"types":[86],"objects":[88],"under":[89],"varying":[90],"lighting":[91],"conditions.":[92],"have":[94],"implemented":[95],"on":[98,137],"our":[99],"autonomous":[100],"robot":[101,105],"made":[103],"do":[106],"tasks":[108],"(object":[109],"learning,":[110],"detection,":[111],"recognition)":[113],"environments.":[116],"results":[118],"revealed":[119],"that":[120,133],"provides":[125],"far":[126],"better":[127],"performance":[128],"than":[129],"previous":[131],"based":[135],"only":[136],"information.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
