{"id":"W2026619300","doi":"10.1109/ccece.2013.6567843","title":"Extended Kalman filtering for pico-satellites attitude determination","year":2013,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Else Kröner-Fresenius-Stiftung; University of Manitoba","keywords":"Extended Kalman filter; Quaternion; Kalman filter; Parameterized complexity; Invariant extended Kalman filter; Attitude control; Computer science; Normalization (sociology); Algorithm; Mathematics; Control theory (sociology); Artificial intelligence; Engineering; Aerospace engineering; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000306445,0.00007175219,0.00006247508,0.00003506893,0.00003444179,0.00003711904,0.00004608826,0.00004040549,0.0002181574],"category_scores_gemma":[0.00001119455,0.00006604729,0.00003163488,0.00004167953,0.000005844367,0.0001966069,0.000005664534,0.00003005656,0.0001057288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002391262,"about_ca_system_score_gemma":0.000001130895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001999878,"about_ca_topic_score_gemma":0.000006382052,"domain_scores_codex":[0.9996194,0.000003580747,0.0001155893,0.00007493962,0.00005047336,0.0001360474],"domain_scores_gemma":[0.9998146,0.00003141963,0.000009495076,0.00007643193,0.00003855792,0.00002955472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003241079,0.00001273541,0.0001699232,0.00009599667,0.00001205113,4.737182e-7,0.0001669584,0.001376785,0.826405,0.0008505765,0.000862656,0.1700436],"study_design_scores_gemma":[0.0002335685,0.00003619823,0.01203228,0.00001500941,0.000007853135,0.000002248141,0.00002289353,0.3300834,0.6535838,0.00113728,0.002663231,0.0001822408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8851522,0.00006645393,0.1026942,0.00005652304,0.0003157845,0.0004578774,0.000002664775,0.0004826251,0.0107717],"genre_scores_gemma":[0.9841475,0.0000108169,0.01495406,0.00003162037,0.0001153018,0.00007000355,0.00002108231,0.00001771876,0.0006319041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3287066,"threshold_uncertainty_score":0.2693331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119620019254263,"score_gpt":0.2316340794149665,"score_spread":0.2204378792224238,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}