{"id":"https://openalex.org/W2586213815","doi":"https://doi.org/10.1109/sii.2016.7844060","title":"Visual feedback control of a vehicle based on MHE directly using partial marker information","display_name":"Visual feedback control of a vehicle based on MHE directly using partial marker information","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2586213815","doi":"https://doi.org/10.1109/sii.2016.7844060","mag":"2586213815"},"language":"en","primary_location":{"id":"doi:10.1109/sii.2016.7844060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii.2016.7844060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/SICE International Symposium on System Integration (SII)","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/A5078855649","display_name":"Manami Takahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Manami Takahashi","raw_affiliation_strings":["Graduate School of Engineering, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068258996","display_name":"Kenichiro Nonaka","orcid":"https://orcid.org/0000-0003-0532-0495"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenichiro Nonaka","raw_affiliation_strings":["Faculty of Engineering, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065997102","display_name":"Kazuma Sekiguchi","orcid":"https://orcid.org/0000-0001-6502-0617"},"institutions":[{"id":"https://openalex.org/I185088104","display_name":"Tokyo City University","ror":"https://ror.org/04dt6bw53","country_code":"JP","type":"education","lineage":["https://openalex.org/I185088104"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuma Sekiguchi","raw_affiliation_strings":["Faculty of Engineering, Tokyo City University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Tokyo City University, Tokyo, Japan","institution_ids":["https://openalex.org/I185088104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078855649"],"corresponding_institution_ids":["https://openalex.org/I185088104"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.17287328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"574","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9990000128746033,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heading","display_name":"Heading (navigation)","score":0.8105630874633789},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.712131142616272},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6919569373130798},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6751739978790283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6687011122703552},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.657105565071106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6384124755859375},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4501221477985382},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4252588152885437},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41477084159851074},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3300301432609558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2091117799282074},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17207998037338257}],"concepts":[{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.8105630874633789},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.712131142616272},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6919569373130798},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6751739978790283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687011122703552},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.657105565071106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6384124755859375},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4501221477985382},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4252588152885437},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41477084159851074},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3300301432609558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2091117799282074},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17207998037338257},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii.2016.7844060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii.2016.7844060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/SICE International Symposium on System Integration (SII)","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":18,"referenced_works":["https://openalex.org/W1513733602","https://openalex.org/W1586028156","https://openalex.org/W1800558330","https://openalex.org/W1955695057","https://openalex.org/W1965024459","https://openalex.org/W1982513898","https://openalex.org/W2011892428","https://openalex.org/W2062626565","https://openalex.org/W2094806809","https://openalex.org/W2117402460","https://openalex.org/W2129276668","https://openalex.org/W2144849440","https://openalex.org/W2245181036","https://openalex.org/W2525727291","https://openalex.org/W6630789039","https://openalex.org/W6635066340","https://openalex.org/W6640843157","https://openalex.org/W6646083574"],"related_works":["https://openalex.org/W4244052565","https://openalex.org/W2358719579","https://openalex.org/W4252778923","https://openalex.org/W2385042721","https://openalex.org/W2367929022","https://openalex.org/W2351754530","https://openalex.org/W2378649906","https://openalex.org/W2391014597","https://openalex.org/W2157278770","https://openalex.org/W4205448459"],"abstract_inverted_index":{"Motion":[0],"capture":[1],"systems":[2],"are":[3,25,49,84],"widely":[4],"used":[5],"for":[6,74,122,151],"measuring":[7],"the":[8,11,17,21,44,47,60,95,101,104,113,125,131,142,147,152,171],"position":[9,93,126],"and":[10,31,109,127,175],"orientation":[12],"of":[13,34,46,62,88,94,106,112,124,130,144,173,178],"objects.":[14],"It":[15,36],"detects":[16],"markers":[18,41,83],"attached":[19],"to":[20,42,56,77,146],"objects,":[22],"but":[23],"they":[24],"sometimes":[26],"lost":[27],"sight":[28],"by":[29],"occlusion":[30,174],"dead":[32],"angle":[33,129],"sensor.":[35],"becomes":[37],"a":[38,70],"problem":[39],"that":[40,163],"determine":[43],"coordinates":[45],"object":[48],"not":[50,85],"measured.":[51],"Thus,":[52],"it":[53,99,145,168],"is":[54,165],"necessary":[55],"estimate":[57,92],"state":[58,75],"suppressing":[59],"influence":[61,172],"missing":[63],"measurement.":[64],"In":[65,115,136],"this":[66,79,137],"study,":[67,118],"we":[68,119,139,160],"propose":[69],"Moving":[71],"Horizon":[72],"Estimation":[73],"estimation":[76,123,155],"tackle":[78],"issue.":[80],"If":[81],"any":[82],"measured":[86],"because":[87,98,167],"occlusion,":[89],"MHE":[90,121,164],"can":[91,169],"robot":[96,133,153],"uniquely":[97],"optimizes":[100],"evaluation":[102],"considering":[103],"error":[105],"available":[107],"measurement":[108],"motion":[110],"dynamics":[111],"vehicle.":[114],"our":[116],"previous":[117],"applied":[120],"heading":[128],"vehicle":[132],"with":[134],"markers.":[135],"paper,":[138],"will":[140,161],"show":[141],"application":[143],"visual":[148],"feedback":[149],"control":[150],"using":[154],"value":[156],"at":[157],"real":[158],"time.":[159],"prove":[162],"effective":[166],"suppress":[170],"rapid":[176],"change":[177],"input.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
