{"id":"https://openalex.org/W2143871507","doi":"https://doi.org/10.1109/icra.2011.5980540","title":"A method to recognize 3D shapes of moving targets based on integration of inclined 2D range scans","display_name":"A method to recognize 3D shapes of moving targets based on integration of inclined 2D range scans","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2143871507","doi":"https://doi.org/10.1109/icra.2011.5980540","mag":"2143871507"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2011.5980540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2011.5980540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Automation","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/A5101701304","display_name":"Tetsushi Ikeda","orcid":"https://orcid.org/0000-0003-0865-6322"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tetsushi Ikeda","raw_affiliation_strings":["ATR-IRC Laboratories, Kyoto, Japan","ATR-IRC Laboratories, Kyoto 619-0288, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR-IRC Laboratories, Kyoto, Japan","institution_ids":[]},{"raw_affiliation_string":"ATR-IRC Laboratories, Kyoto 619-0288, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049541990","display_name":"Yoshihiro Chigodo","orcid":null},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP","MY"],"is_corresponding":false,"raw_author_name":"Yoshihiro Chigodo","raw_affiliation_strings":["Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University, 565-0871, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Graduate School of Information Science and Technology, Osaka University, 565-0871, Japan","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110483346","display_name":"Takahiro Miyashita","orcid":"https://orcid.org/0009-0001-1516-8565"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takahiro Miyashita","raw_affiliation_strings":["ATR-IRC Laboratories, Kyoto, Japan","ATR-IRC Laboratories, Kyoto 619-0288, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR-IRC Laboratories, Kyoto, Japan","institution_ids":[]},{"raw_affiliation_string":"ATR-IRC Laboratories, Kyoto 619-0288, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109426594","display_name":"Fumio Kishino","orcid":null},"institutions":[{"id":"https://openalex.org/I206011266","display_name":"Kwansei Gakuin University","ror":"https://ror.org/02qf2tx24","country_code":"JP","type":"education","lineage":["https://openalex.org/I206011266"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumio Kishino","raw_affiliation_strings":["Department of Human System Interaction, Graduate School of Science and Technology, Kwansei Gakuin University, Hyogo, Japan","Department of Human System Interaction, Graduate School of Science and Technology, Kwansei Gakuin University, Hyogo 669-1337, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Human System Interaction, Graduate School of Science and Technology, Kwansei Gakuin University, Hyogo, Japan","institution_ids":["https://openalex.org/I206011266"]},{"raw_affiliation_string":"Department of Human System Interaction, Graduate School of Science and Technology, Kwansei Gakuin University, Hyogo 669-1337, Japan","institution_ids":["https://openalex.org/I206011266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058513264","display_name":"Norihiro Hagita","orcid":"https://orcid.org/0000-0001-8007-4701"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Norihiro Hagita","raw_affiliation_strings":["ATR-IRC Laboratories, Kyoto, Japan","ATR-IRC Laboratories, Kyoto 619-0288, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATR-IRC Laboratories, Kyoto, Japan","institution_ids":[]},{"raw_affiliation_string":"ATR-IRC Laboratories, Kyoto 619-0288, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"3575","last_page":"3580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9945999979972839,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9937999844551086,"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":0.7886708974838257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7186076641082764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6981085538864136},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6018079519271851},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5221714973449707},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4561367332935333},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4520716965198517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14420178532600403}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7886708974838257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186076641082764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6981085538864136},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6018079519271851},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5221714973449707},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4561367332935333},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4520716965198517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14420178532600403},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/icra.2011.5980540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2011.5980540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1515685044","https://openalex.org/W1536864910","https://openalex.org/W2045222221","https://openalex.org/W2062032472","https://openalex.org/W2076406743","https://openalex.org/W2106370485","https://openalex.org/W2111957821","https://openalex.org/W2113795582","https://openalex.org/W2119350939","https://openalex.org/W2125114795","https://openalex.org/W2143631451","https://openalex.org/W2148676238","https://openalex.org/W2153512177","https://openalex.org/W2156013416","https://openalex.org/W2158521913","https://openalex.org/W4256506781","https://openalex.org/W6630568869"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W3009369890","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W4312490297","https://openalex.org/W2158788032"],"abstract_inverted_index":{"Recently,":[0],"laser-based":[1],"people-tracking":[2],"systems":[3],"have":[4,37,144],"received":[5],"increasing":[6],"attention":[7],"for":[8],"their":[9,59,105,125],"ability":[10],"to":[11,51,85,110,147,182],"localize":[12],"human":[13],"subjects":[14],"precisely":[15],"in":[16,20,73,124,137,175],"crowded":[17],"situations.":[18],"However,":[19,72],"a":[21,44,95,171],"real":[22],"environment,":[23],"there":[24],"exist":[25],"many":[26],"kinds":[27],"of":[28,67,89,104,114,121,133,140,151,186],"moving":[29,123,155,167],"objects":[30,56,122,153,168],"other":[31],"than":[32],"people,":[33],"and":[34,57,65,99,158],"previous":[35,74],"methods":[36,75],"focused":[38],"only":[39,100],"on":[40],"humans.":[41],"To":[42],"design":[43],"more":[45],"sophisticated":[46],"system,":[47],"it":[48,82],"is":[49],"necessary":[50],"distinguish":[52],"humans":[53],"from":[54],"observed":[55],"recognize":[58,86,111],"individual":[60],"condition-for":[61],"example,":[62],"the":[63,87,101,112,118,138,156,176,184,187],"kind":[64],"amount":[66],"belongings":[68],"they":[69],"are":[70,180],"carrying.":[71],"using":[76,170],"2D":[77,102],"laser":[78],"range":[79],"finders":[80],"(LRFs),":[81],"proved":[83],"difficult":[84],"type":[88,113],"target":[90],"since":[91],"all":[92],"sensors":[93],"observe":[94,117],"common":[96],"horizontal":[97],"plane":[98],"contours":[103],"targets.":[106],"In":[107,162],"this":[108],"study,":[109],"target,":[115],"we":[116],"3D":[119,141,149],"shapes":[120],"environment":[126],"by":[127,154,169],"installing":[128],"LRFs":[129,143],"with":[130],"an":[131],"angle":[132],"inclination.":[134],"So":[135],"far,":[136],"area":[139],"modeling,":[142],"been":[145],"used":[146],"construct":[148],"models":[150],"static":[152,172],"sensor":[157],"registering":[159],"multiple":[160],"views.":[161],"contrast,":[163],"our":[164],"method":[165],"observes":[166],"LRF":[173],"network":[174],"environment.":[177],"Experimental":[178],"results":[179],"shown":[181],"confirm":[183],"effectiveness":[185],"proposed":[188],"method.":[189]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}