{"id":"https://openalex.org/W2569707807","doi":"https://doi.org/10.1109/iecon.2016.7793480","title":"Path estimation of a shopping cart using a particle filter and an environment map","display_name":"Path estimation of a shopping cart using a particle filter and an environment map","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2569707807","doi":"https://doi.org/10.1109/iecon.2016.7793480","mag":"2569707807"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2016.7793480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7793480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society","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/A5032379502","display_name":"Daiki Sasakura","orcid":null},"institutions":[{"id":"https://openalex.org/I136446963","display_name":"Okayama University of Science","ror":"https://ror.org/05aevyc10","country_code":"JP","type":"education","lineage":["https://openalex.org/I136446963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daiki Sasakura","raw_affiliation_strings":["Graguate School of Natural Science and Technology, Okayama University, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graguate School of Natural Science and Technology, Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I136446963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111518950","display_name":"Keigo Watanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I136446963","display_name":"Okayama University of Science","ror":"https://ror.org/05aevyc10","country_code":"JP","type":"education","lineage":["https://openalex.org/I136446963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keigo Watanabe","raw_affiliation_strings":["Graguate School of Natural Science and Technology, Okayama University, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graguate School of Natural Science and Technology, Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I136446963"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112578084","display_name":"Isaku Nagai","orcid":null},"institutions":[{"id":"https://openalex.org/I136446963","display_name":"Okayama University of Science","ror":"https://ror.org/05aevyc10","country_code":"JP","type":"education","lineage":["https://openalex.org/I136446963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Isaku Nagai","raw_affiliation_strings":["Graguate School of Natural Science and Technology, Okayama University, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graguate School of Natural Science and Technology, Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I136446963"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I136446963"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6152","last_page":"6157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9961000084877014,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9685999751091003,"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":0.9546999931335449,"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/particle-filter","display_name":"Particle filter","score":0.7420531511306763},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.7288602590560913},{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.6801510453224182},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6745158433914185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6431822180747986},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6281619668006897},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5956214070320129},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.4304999113082886},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3908465802669525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3597361743450165},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3408375680446625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3395557403564453},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17021223902702332},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10721909999847412},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.08030444383621216}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7420531511306763},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.7288602590560913},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.6801510453224182},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6745158433914185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6431822180747986},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6281619668006897},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5956214070320129},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.4304999113082886},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3908465802669525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3597361743450165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3408375680446625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3395557403564453},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17021223902702332},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10721909999847412},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.08030444383621216},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","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/iecon.2016.7793480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7793480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society","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":10,"referenced_works":["https://openalex.org/W196852696","https://openalex.org/W1916727558","https://openalex.org/W2004498057","https://openalex.org/W2007503682","https://openalex.org/W2116509542","https://openalex.org/W2210849034","https://openalex.org/W2328115885","https://openalex.org/W2539990421","https://openalex.org/W4235992295","https://openalex.org/W4237076070"],"related_works":["https://openalex.org/W3125099825","https://openalex.org/W25115902","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1987886368","https://openalex.org/W1660309994","https://openalex.org/W2369187583","https://openalex.org/W3197207153","https://openalex.org/W3154539612"],"abstract_inverted_index":{"Understanding":[0],"of":[1,29,73,78,109],"consumer":[2,18],"behavior":[3],"contributes":[4],"a":[5,21,46,54,62,71,90,98,124],"store":[6,22],"for":[7,24,92],"improving":[8,93],"the":[9,25,38,51,68,79,83,94,107,110,113,117,120],"profitability.":[10],"It":[11],"is":[12,42],"important":[13],"to":[14],"analyze":[15],"and":[16,32,61,101,112],"understand":[17],"trajectories":[19],"in":[20,37,82],"building":[23],"purpose.":[26],"Therefore":[27],"analyses":[28],"purchasing":[30],"history":[31],"consumer's":[33],"movement":[34,52],"are":[35],"performed":[36],"process.":[39],"Purchasing":[40],"histories":[41],"regularly":[43],"obtained":[44],"via":[45],"POS":[47],"system.":[48],"For":[49],"acquiring":[50],"path,":[53],"measurement":[55,75],"device":[56,69,111],"using":[57,97],"an":[58,102],"optical":[59],"sensor":[60,64],"gyro":[63],"was":[65],"proposed.":[66],"However,":[67],"has":[70],"problem":[72],"poor":[74],"accuracy":[76,95],"because":[77],"accumulated":[80],"error":[81],"sensors.":[84],"In":[85],"this":[86],"study,":[87],"we":[88],"propose":[89],"method":[91,118],"by":[96,116],"particle":[99],"filter":[100],"environmental":[103],"map.":[104,125],"We":[105],"describe":[106],"outline":[108],"path":[114],"estimated":[115],"from":[119],"measured":[121],"data":[122],"with":[123]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}