{"id":"https://openalex.org/W2125533435","doi":"https://doi.org/10.1109/icsmc.2010.5641712","title":"Enhancemend of moving object extraction using 6D information","display_name":"Enhancemend of moving object extraction using 6D information","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2125533435","doi":"https://doi.org/10.1109/icsmc.2010.5641712","mag":"2125533435"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2010.5641712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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/A5110224485","display_name":"Naoki Suganuma","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naoki Suganuma","raw_affiliation_strings":["Institute of Science and Engineering, Kanazawa Univ., Ishikawa, 9201192 Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Engineering, Kanazawa Univ., Ishikawa, 9201192 Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109837442","display_name":"Takaaki Kubo","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takaaki Kubo","raw_affiliation_strings":["Graduate School of Natural Science and Technology, Kanazawa Univ., Ishikawa, 9201192 Japan","Graduate School of Natural Science and Technology, Kanazawa University, Ishikawa 9201192, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Natural Science and Technology, Kanazawa Univ., Ishikawa, 9201192 Japan","institution_ids":["https://openalex.org/I10091056"]},{"raw_affiliation_string":"Graduate School of Natural Science and Technology, Kanazawa University, Ishikawa 9201192, Japan","institution_ids":["https://openalex.org/I10091056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110224485"],"corresponding_institution_ids":["https://openalex.org/I10091056"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26621385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3094","last_page":"3099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.9977999925613403,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9955999851226807,"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/obstacle","display_name":"Obstacle","score":0.8367019891738892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.744976282119751},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6858243346214294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6769213080406189},{"id":"https://openalex.org/keywords/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.6520640254020691},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6351475119590759},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.617584228515625},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.537839412689209},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.47749587893486023},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4770590364933014},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43717247247695923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.25353169441223145},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12754210829734802},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.0682433545589447},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.06396177411079407}],"concepts":[{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.8367019891738892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.744976282119751},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6858243346214294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6769213080406189},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.6520640254020691},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6351475119590759},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.617584228515625},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.537839412689209},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.47749587893486023},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4770590364933014},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43717247247695923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25353169441223145},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12754210829734802},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0682433545589447},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.06396177411079407},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2010.5641712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5641712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2001841350","https://openalex.org/W2099555712","https://openalex.org/W2130103520","https://openalex.org/W2136373455","https://openalex.org/W2152949245","https://openalex.org/W2155670098","https://openalex.org/W2168950532","https://openalex.org/W2336416123","https://openalex.org/W2400894854","https://openalex.org/W6679388247","https://openalex.org/W6712801670"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W1996530509","https://openalex.org/W4245435724","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W2055301889","https://openalex.org/W1505959757","https://openalex.org/W2376554934","https://openalex.org/W3154504797","https://openalex.org/W1538887534"],"abstract_inverted_index":{"The":[0],"driving":[1],"support":[2],"is":[3,20,53,58],"one":[4,21],"of":[5,22],"the":[6],"most":[7,23],"important":[8,24],"research":[9],"areas":[10],"in":[11,73],"intelligent":[12],"transport":[13],"system":[14,19,31],"(ITS).":[15],"Moreover,":[16],"obstacle":[17],"extraction":[18,44],"system,":[25],"and":[26,66,93],"we":[27,40,76],"have":[28],"proposed":[29,41],"such":[30,82],"based":[32,46,84],"on":[33,47,85],"stereovision":[34],"system.":[35],"In":[36],"our":[37],"previous":[38],"report,":[39],"moving":[42,67],"objects":[43,68],"method":[45,79],"Occupancy":[48],"Grid":[49],"Maps.":[50],"However,":[51],"there":[52],"a":[54,78],"problem":[55,83],"that":[56],"it":[57],"difficult":[59],"to":[60,80],"cluster":[61],"each":[62],"object":[63],"if":[64],"stationary":[65],"are":[69],"closely":[70],"located.":[71],"Therefore,":[72],"this":[74],"paper,":[75],"propose":[77],"solve":[81],"6D":[86],"information,":[87],"which":[88],"estimate":[89],"both":[90],"three-dimensional":[91],"position":[92],"velocity.":[94]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
