{"id":"https://openalex.org/W1619352848","doi":"https://doi.org/10.1109/icinfa.2015.7279593","title":"Orientation estimation using visual and inertial sensors","display_name":"Orientation estimation using visual and inertial sensors","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1619352848","doi":"https://doi.org/10.1109/icinfa.2015.7279593","mag":"1619352848"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2015.7279593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","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/A5025117178","display_name":"Yinlong Zhang","orcid":"https://orcid.org/0000-0001-5545-2555"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinlong Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101518750","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-3345-2949"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713768","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-9271-2977"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103887430","display_name":"Haibo An","orcid":null},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo An","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025711005","display_name":"Jindong Tan","orcid":"https://orcid.org/0000-0003-0339-8811"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jindong Tan","raw_affiliation_strings":["Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Konxville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Konxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025117178"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.6215,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.860787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1871","last_page":"1876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9980999827384949,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.778530478477478},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.7580760717391968},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7195655107498169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6963829398155212},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5744525790214539},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5609472990036011},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5066893696784973},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5005903244018555},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4938719868659973},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48111242055892944},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46065375208854675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.453948974609375},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.4526209831237793},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4334408640861511},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.42324453592300415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2550811767578125},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13774991035461426},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08871197700500488}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.778530478477478},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.7580760717391968},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7195655107498169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6963829398155212},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5744525790214539},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5609472990036011},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5066893696784973},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5005903244018555},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4938719868659973},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48111242055892944},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46065375208854675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.453948974609375},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.4526209831237793},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4334408640861511},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.42324453592300415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2550811767578125},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13774991035461426},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08871197700500488},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2015.7279593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2015.7279593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Information and Automation","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":13,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1985604452","https://openalex.org/W1992163596","https://openalex.org/W1992989752","https://openalex.org/W2015996585","https://openalex.org/W2033819227","https://openalex.org/W2057708948","https://openalex.org/W2072810456","https://openalex.org/W2122093596","https://openalex.org/W2160146756","https://openalex.org/W2373422867","https://openalex.org/W6999596127"],"related_works":["https://openalex.org/W3127350447","https://openalex.org/W3108700312","https://openalex.org/W4225472102","https://openalex.org/W2382948573","https://openalex.org/W2887325221","https://openalex.org/W2084651007","https://openalex.org/W2184550115","https://openalex.org/W3121191907","https://openalex.org/W2391028436","https://openalex.org/W2382856674"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,71],"orientation":[4,19,134,152],"estimate":[5],"scheme":[6],"using":[7,127],"monocular":[8],"camera":[9],"and":[10,98,122,147],"inertial":[11,101],"measurement":[12],"units":[13],"(IMUs).":[14],"Unlike":[15],"the":[16,48,56,62,65,80,86,108,132],"traditional":[17],"wearable":[18,151],"estimation":[20,135],"methods,":[21],"our":[22,142],"proposed":[23,143],"approach":[24],"combines":[25],"both":[26],"of":[27,50],"these":[28,91],"two":[29,36,92],"modalities":[30],"in":[31,117],"a":[32,113],"novel":[33],"pattern.":[34],"Firstly,":[35],"visual":[37,96,119],"correspondences":[38,94],"between":[39],"consecutive":[40],"frames":[41],"are":[42,78,103],"selected":[43,93],"that":[44,64,141],"not":[45],"only":[46],"meet":[47],"requirement":[49],"descriptor":[51],"similarity":[52],"constraint,":[53],"but":[54],"satisfy":[55],"locality":[57],"constraints,":[58],"which":[59],"is":[60,136,145],"under":[61],"assumption":[63],"correspondence":[66],"will":[67],"be":[68],"taken":[69],"as":[70],"inlier":[72],"if":[73],"their":[74],"nearest-neighbor":[75],"feature-point":[76,88],"counterparts":[77],"within":[79],"predefined":[81],"thresholds":[82],"with":[83],"respect":[84],"to":[85,106],"objective":[87],"counterpart.":[89],"Secondly,":[90],"from":[95,100],"sensor":[97,102],"quaternions":[99],"jointly":[104],"employed":[105],"derive":[107],"initial":[109],"body":[110,124],"poses.":[111],"Thirdly,":[112],"coarse-to-fine":[114],"procedure":[115],"proceeds":[116],"removing":[118],"false":[120],"matches":[121],"estimating":[123],"poses":[125],"iteratively":[126],"Expectation":[128],"Maximization":[129],"(EM).":[130],"Ultimately,":[131],"optimal":[133],"achieved.":[137],"Experimental":[138],"results":[139],"validate":[140],"method":[144],"effective":[146],"well":[148],"suited":[149],"for":[150],"estimate.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}