{"id":"https://openalex.org/W2103805524","doi":"https://doi.org/10.1109/iros.2007.4399143","title":"Adaptive motion estimation of a tumbling satellite using laser-vision data with unknown noise characteristics","display_name":"Adaptive motion estimation of a tumbling satellite using laser-vision data with unknown noise characteristics","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2103805524","doi":"https://doi.org/10.1109/iros.2007.4399143","mag":"2103805524"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2007.4399143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2007.4399143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5000948875","display_name":"Farhad Aghili","orcid":"https://orcid.org/0000-0002-2059-0226"},"institutions":[{"id":"https://openalex.org/I2800055578","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98","country_code":"CA","type":"government","lineage":["https://openalex.org/I2800055578"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Farhad Aghili","raw_affiliation_strings":["Spacecraft Engineering, Canadian Space Agency, Saint-Hubert, QUE, Canada"],"affiliations":[{"raw_affiliation_string":"Spacecraft Engineering, Canadian Space Agency, Saint-Hubert, QUE, Canada","institution_ids":["https://openalex.org/I2800055578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025627691","display_name":"Kourosh Parsa","orcid":"https://orcid.org/0000-0001-7187-4934"},"institutions":[{"id":"https://openalex.org/I2800055578","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98","country_code":"CA","type":"government","lineage":["https://openalex.org/I2800055578"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kourosh Parsa","raw_affiliation_strings":["Spacecraft Engineering, Canadian Space Agency, Saint-Hubert, QUE, Canada"],"affiliations":[{"raw_affiliation_string":"Spacecraft Engineering, Canadian Space Agency, Saint-Hubert, QUE, Canada","institution_ids":["https://openalex.org/I2800055578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000948875"],"corresponding_institution_ids":["https://openalex.org/I2800055578"],"apc_list":null,"apc_paid":null,"fwci":6.292,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.96010196,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"839","last_page":"846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11701","display_name":"Space Satellite Systems and Control","score":0.9995999932289124,"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/T11701","display_name":"Space Satellite Systems and Control","score":0.9995999932289124,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9979000091552734,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9919999837875366,"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/kalman-filter","display_name":"Kalman filter","score":0.664713978767395},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5743404626846313},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5593932271003723},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.5350334048271179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5150151252746582},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.49276307225227356},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4731886386871338},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.443571001291275},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.44250357151031494},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43559741973876953},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4140545427799225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3627328872680664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.351391077041626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3387565314769745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33485108613967896},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.09209907054901123},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09039884805679321}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.664713978767395},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5743404626846313},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5593932271003723},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.5350334048271179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5150151252746582},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.49276307225227356},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4731886386871338},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.443571001291275},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.44250357151031494},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43559741973876953},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4140545427799225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3627328872680664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.351391077041626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3387565314769745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33485108613967896},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.09209907054901123},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09039884805679321},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2007.4399143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2007.4399143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE/RSJ International Conference on Intelligent Robots and Systems","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":18,"referenced_works":["https://openalex.org/W272266754","https://openalex.org/W1546339071","https://openalex.org/W1646818250","https://openalex.org/W1651676304","https://openalex.org/W1674253672","https://openalex.org/W1896077380","https://openalex.org/W1996743575","https://openalex.org/W2024163719","https://openalex.org/W2060106676","https://openalex.org/W2077735765","https://openalex.org/W2104964762","https://openalex.org/W2117102490","https://openalex.org/W2128531862","https://openalex.org/W2156064084","https://openalex.org/W4256561032","https://openalex.org/W6610011805","https://openalex.org/W6632706161","https://openalex.org/W6636834765"],"related_works":["https://openalex.org/W3127350447","https://openalex.org/W3108700312","https://openalex.org/W4225472102","https://openalex.org/W2900391131","https://openalex.org/W1657752397","https://openalex.org/W3185162478","https://openalex.org/W1633787648","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"A":[0,29],"noise-adaptive":[1],"variant":[2],"of":[3,15,35,47,59,76,101,123,165,173,186],"the":[4,10,48,53,57,73,77,84,94,102,120,124,129,147,151,155,158,163,166,170,174,183,187],"Kalman":[5,78],"filter":[6],"is":[7,38,70,105],"presented":[8],"for":[9,40,72],"motion":[11],"estimation":[12],"and":[13,56,86,91,139,145,157,169,178],"prediction":[14],"a":[16,23,26,44,66,108,133],"freefalling":[17],"tumbling":[18],"satellite":[19,24],"as":[20],"seen":[21],"from":[22,132],"in":[25,65,160],"neighboring":[27],"orbit.":[28],"complete":[30],"dynamics":[31],"model,":[32],"including":[33],"aspects":[34],"orbital":[36],"mechanics,":[37],"incorporated":[39],"accurate":[41],"estimation.":[42],"Moreover,":[43],"discrete-time":[45],"model":[46,113],"entire":[49],"system":[50,136],"which":[51,69],"includes":[52],"state-transition":[54],"matrix":[55],"covariance":[58,110,164],"process":[60],"noise":[61,104,143,168],"are":[62,89],"derived":[63],"effectively":[64],"closed":[67],"form,":[68],"essential":[71],"real-time":[74],"implementation":[75],"filter.":[79],"We":[80],"will":[81,181],"show":[82],"that":[83],"translational":[85],"rotational":[87],"measurements":[88,131],"coupled":[90],"consequently":[92],"derive":[93],"corresponding":[95],"observation":[96],"matrix.":[97,111],"The":[98,126],"statistical":[99,142],"characteristics":[100],"measurement":[103,167],"formulated":[106],"by":[107],"state-dependent":[109],"This":[112],"allows":[114],"additive":[115],"quaternion":[116],"noise,":[117],"while":[118],"preserving":[119],"unit-norm":[121],"property":[122],"quaternion.":[125],"estimator":[127,148],"takes":[128],"noisy":[130],"laser":[134],"vision":[135],"with":[137],"unknown":[138],"possibly":[140],"varying":[141],"properties,":[144],"subsequently":[146],"adaptively":[149],"estimates":[150],"full":[152],"sates,":[153],"i.e.,":[154],"pose":[156],"velocities,":[159],"addition":[161],"to":[162],"inertial":[171],"parameters":[172],"target":[175],"satellite.":[176],"Simulations":[177],"experiments":[179],"conducted":[180],"demonstrate":[182],"quality":[184],"performance":[185],"adaptive":[188],"estimator.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}