{"id":"W2103805524","doi":"10.1109/iros.2007.4399143","title":"Adaptive motion estimation of a tumbling satellite using laser-vision data with unknown noise characteristics","year":2007,"lang":"en","type":"article","venue":"","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Kalman filter; Estimator; Noise (video); Quaternion; Computer science; Covariance; Covariance matrix; Extended Kalman filter; Control theory (sociology); Noise measurement; Filter (signal processing); Algorithm; Artificial intelligence; Computer vision; Mathematics; Noise reduction; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003938133,0.0001423547,0.0002112188,0.00009942641,0.00004048433,0.00003778065,0.0001196016,0.00006825693,0.0000134286],"category_scores_gemma":[0.00001718581,0.0001185313,0.0000214044,0.000211808,0.00002028726,0.0003607052,0.00002841869,0.00008545587,0.000007632449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005131551,"about_ca_system_score_gemma":0.00001270508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001524178,"about_ca_topic_score_gemma":0.000107264,"domain_scores_codex":[0.9990886,0.0000138769,0.0003282552,0.0001795467,0.0001913952,0.0001983159],"domain_scores_gemma":[0.9993212,0.00005219259,0.00009101245,0.0003914091,0.00008508909,0.00005910061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002432722,0.00008327056,0.002358719,0.0003492248,0.0001536503,0.00002580959,0.0005521534,0.1928876,0.03817232,0.0005755613,0.0000243526,0.7645741],"study_design_scores_gemma":[0.0003489626,0.00005408812,0.006455481,0.0001891538,0.00004083547,0.000009386863,0.0001536971,0.9868621,0.005331252,0.000009375995,0.0003890651,0.0001565616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3098831,0.0001456723,0.6884711,0.000004403095,0.0001181299,0.0001801722,0.00001701487,0.0001070945,0.001073285],"genre_scores_gemma":[0.9807895,0.00003341398,0.01891179,0.000005783258,0.00008328801,0.000001032335,0.00007314346,0.00002939974,0.0000726287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7939745,"threshold_uncertainty_score":0.4833565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191208104521904,"score_gpt":0.2535758930534478,"score_spread":0.2316638120082288,"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."}}