{"id":"https://openalex.org/W2004256608","doi":"https://doi.org/10.1109/ivs.2013.6629657","title":"Real-time monocular ranging by Bayesian triangulation","display_name":"Real-time monocular ranging by Bayesian triangulation","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2004256608","doi":"https://doi.org/10.1109/ivs.2013.6629657","mag":"2004256608"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2013.6629657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","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/A5007900897","display_name":"Katsuyuki Nakamura","orcid":"https://orcid.org/0000-0002-8074-2279"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuyuki Nakamura","raw_affiliation_strings":["Central Research Laboratory, Hitachi Limited, Kokubunji, Tokyo, Japan","Central Res. Lab., Hitachi, Ltd., Kokubunji, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi Limited, Kokubunji, Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]},{"raw_affiliation_string":"Central Res. Lab., Hitachi, Ltd., Kokubunji, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061520750","display_name":"Kazuma Ishigaki","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuma Ishigaki","raw_affiliation_strings":["Hitachi Research Laboratory, Hitachi Limited, Hitachi, Ibaraki, Japan","Clarion Co. Ltd., Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitachi Research Laboratory, Hitachi Limited, Hitachi, Ibaraki, Japan","institution_ids":["https://openalex.org/I65143321"]},{"raw_affiliation_string":"Clarion Co. Ltd., Saitama, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101013553","display_name":"Takehito Ogata","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takehito Ogata","raw_affiliation_strings":["Clarion Company Limited, Saitama, Saitama, Japan","Hitachi Res.Lab., Hitachi Ltd., Hitachi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarion Company Limited, Saitama, Saitama, Japan","institution_ids":[]},{"raw_affiliation_string":"Hitachi Res.Lab., Hitachi Ltd., Hitachi, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111757001","display_name":"Shoji Muramatsu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shoji Muramatsu","raw_affiliation_strings":["Clarion Company Limited, Saitama, Saitama, Japan","Clarion Co. Ltd., Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarion Company Limited, Saitama, Saitama, Japan","institution_ids":[]},{"raw_affiliation_string":"Clarion Co. Ltd., Saitama, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6232,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.67467704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1368","last_page":"1373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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":0.9975000023841858,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.8534224033355713},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.7718400955200195},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7325109243392944},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7161825299263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7136000394821167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6463673114776611},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.49622470140457153},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4772993326187134},{"id":"https://openalex.org/keywords/distance-measurement","display_name":"Distance measurement","score":0.43700796365737915},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.4341089129447937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25973522663116455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1326603889465332}],"concepts":[{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.8534224033355713},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.7718400955200195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7325109243392944},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7161825299263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7136000394821167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6463673114776611},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.49622470140457153},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4772993326187134},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.43700796365737915},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.4341089129447937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25973522663116455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1326603889465332},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2013.6629657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2013.6629657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1924453835","https://openalex.org/W2004427741","https://openalex.org/W2065247337","https://openalex.org/W2101759163","https://openalex.org/W2104572919","https://openalex.org/W2115826585","https://openalex.org/W2122723498","https://openalex.org/W2126452053","https://openalex.org/W2136767008","https://openalex.org/W2144409879","https://openalex.org/W2145938889","https://openalex.org/W2146939114","https://openalex.org/W2154271851","https://openalex.org/W2162295117","https://openalex.org/W2164598857","https://openalex.org/W2169333691","https://openalex.org/W3022404379","https://openalex.org/W6681158678"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W2995270189","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2390582858","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W4251947321","https://openalex.org/W4328027586","https://openalex.org/W3216326188"],"abstract_inverted_index":{"A":[0],"method":[1,25,90],"for":[2],"estimating":[3],"the":[4,23,41,60,63,82,111],"range":[5],"between":[6],"moving":[7],"vehicles":[8],"by":[9,49,59,69,85,121],"using":[10],"a":[11],"monocular":[12],"camera":[13],"is":[14,47,66,110],"proposed.":[15],"Although":[16],"most":[17],"conventional":[18],"methods":[19],"use":[20],"vertical":[21,28],"triangulation,":[22,31],"proposed":[24,89],"uses":[26],"both":[27],"and":[29,62,75,95,118],"horizontal":[30,70],"which":[32],"reduces":[33],"errors":[34],"due":[35],"to":[36],"vehicle's":[37],"own":[38],"pitching":[39],"in":[40,92],"far":[42],"distance.":[43,103],"Unknown":[44],"vehicle":[45,73,116],"width":[46,74,117],"estimated":[48],"measuring":[50],"three":[51],"ranging":[52],"parameters":[53],"associated":[54],"with":[55],"an":[56],"image":[57],"captured":[58],"camera,":[61],"following":[64,76,102,119],"distance":[65,77,120],"then":[67],"computed":[68],"triangulation.":[71],"Both":[72],"are":[78],"dynamically":[79],"updated":[80],"during":[81],"vehicle-tracking":[83],"process":[84],"single":[86],"filtering.":[87],"The":[88,104],"runs":[91],"real":[93],"time":[94],"can":[96],"produce":[97],"highly":[98],"accurate":[99],"estimation":[100,113],"of":[101,107,114],"key":[105],"contribution":[106],"this":[108],"study":[109],"coupled":[112],"unknown":[115],"sequential":[122],"Bayesian":[123],"estimation.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
