{"id":"https://openalex.org/W2514945251","doi":"https://doi.org/10.1109/ivs.2016.7535499","title":"Vehicle self-localization using 3D building map and stereo camera","display_name":"Vehicle self-localization using 3D building map and stereo camera","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2514945251","doi":"https://doi.org/10.1109/ivs.2016.7535499","mag":"2514945251"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2016.7535499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","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/A5040818050","display_name":"Jiali Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jiali Bao","raw_affiliation_strings":["Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070068490","display_name":"Yanlei Gu","orcid":"https://orcid.org/0000-0001-9708-7429"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanlei Gu","raw_affiliation_strings":["Institute of Industrial Science, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, University of Tokyo, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044957601","display_name":"Li\u2010Ta Hsu","orcid":"https://orcid.org/0000-0002-0352-741X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li-Ta Hsu","raw_affiliation_strings":["Institute of Industrial Science, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, University of Tokyo, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109244048","display_name":"Shunsuke Kamijo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shunsuke Kamijo","raw_affiliation_strings":["Institute of Industrial Science, University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Science, University of Tokyo, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":27.609,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.99068722,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"927","last_page":"932"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9983000159263611,"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/computer-vision","display_name":"Computer vision","score":0.7279863953590393},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.7040538191795349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6794497966766357},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6266142725944519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6126023530960083},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.5643038749694824},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4694836735725403},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.4505017399787903},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.4407760202884674},{"id":"https://openalex.org/keywords/stereo-cameras","display_name":"Stereo cameras","score":0.41728702187538147},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3235587477684021},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09032890200614929}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7279863953590393},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.7040538191795349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6794497966766357},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6266142725944519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6126023530960083},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.5643038749694824},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4694836735725403},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.4505017399787903},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.4407760202884674},{"id":"https://openalex.org/C35861506","wikidata":"https://www.wikidata.org/wiki/Q17141434","display_name":"Stereo cameras","level":3,"score":0.41728702187538147},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3235587477684021},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09032890200614929},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2016.7535499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W179122090","https://openalex.org/W1512698229","https://openalex.org/W1924453835","https://openalex.org/W1964414380","https://openalex.org/W1968198092","https://openalex.org/W1973122016","https://openalex.org/W1981154748","https://openalex.org/W2013798594","https://openalex.org/W2033552406","https://openalex.org/W2038678236","https://openalex.org/W2054969198","https://openalex.org/W2061684517","https://openalex.org/W2078248583","https://openalex.org/W2082109795","https://openalex.org/W2102596614","https://openalex.org/W2109812742","https://openalex.org/W2120789862","https://openalex.org/W2124925800","https://openalex.org/W2128880924","https://openalex.org/W2133844819","https://openalex.org/W2140836349","https://openalex.org/W2161779787","https://openalex.org/W2165284796","https://openalex.org/W2187981872","https://openalex.org/W2194508154","https://openalex.org/W2295130602","https://openalex.org/W2325980629","https://openalex.org/W3083265500","https://openalex.org/W6654052374","https://openalex.org/W6679073850","https://openalex.org/W6701541992"],"related_works":["https://openalex.org/W812480148","https://openalex.org/W4206442289","https://openalex.org/W2015421583","https://openalex.org/W2034432135","https://openalex.org/W1484049743","https://openalex.org/W307265996","https://openalex.org/W2106933740","https://openalex.org/W2250718577","https://openalex.org/W2040966513","https://openalex.org/W2949709491"],"abstract_inverted_index":{"Self-localization":[0],"is":[1,36,84,104,137,145,154],"one":[2],"of":[3,26,28,40,43,76,115,132,150,163],"the":[4,15,24,29,33,41,44,47,53,73,90,112,129,140,148,169],"most":[5],"important":[6],"part":[7],"in":[8,147,177],"autonomous":[9],"driving":[10],"system.":[11],"In":[12,79,117],"urban":[13,157],"canyon,":[14],"multipath":[16],"and":[17,67,88,98,124],"non-line-of-sight":[18],"effects":[19],"to":[20,63,71,86,110,127],"GPS":[21,125,178],"receiver":[22,126],"decrease":[23],"precision":[25],"self-localization":[27],"vehicle.":[30,116,133],"More":[31],"specifically,":[32],"lateral":[34,74,113],"error":[35,75],"more":[37],"serious":[38],"because":[39],"blockage":[42],"satellites.":[45],"However,":[46],"building":[48,69,91,97,108],"on":[49],"roadside":[50],"could":[51,172],"be":[52],"stable":[54],"reference":[55],"object":[56],"for":[57,139],"localization.":[58],"Therefore,":[59],"this":[60,119],"paper":[61,120],"proposes":[62],"use":[64],"stereo":[65,82,102],"camera":[66,83,103],"3D":[68,107],"map":[70,109],"reduce":[72],"positioning":[77],"result.":[78],"our":[80],"proposal,":[81],"used":[85,138],"detect":[87],"reconstruct":[89],"side":[92],"view.":[93],"Lateral":[94],"distance":[95],"between":[96],"vehicle":[99],"estimated":[100],"by":[101],"compared":[105],"with":[106,160],"rectify":[111],"position":[114,131],"addition,":[118],"employs":[121],"inertial":[122],"sensor":[123,141],"decide":[128],"longitudinal":[130],"The":[134,143],"particle":[135],"filter":[136],"fusion.":[142],"experiment":[144],"conducted":[146],"center":[149],"Tokyo,":[151],"Japan,":[152],"which":[153],"a":[155],"typical":[156],"city":[158],"scene":[159],"high":[161],"density":[162],"tall":[164],"buildings.":[165],"It":[166],"demonstrates":[167],"that":[168],"proposed":[170],"method":[171],"achieve":[173],"sub-meter":[174],"level":[175],"accuracy":[176],"difficult":[179],"environments.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
