{"id":"W2575983518","doi":"10.1002/rnc.3744","title":"Continuous‐time Kalman filtering on the orthogonal group <i>O(n)</i>","year":2017,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Toronto Metropolitan University","funders":"","keywords":"Kalman filter; Orthonormal basis; Extended Kalman filter; Control theory (sociology); Fast Kalman filter; Invariant extended Kalman filter; Mathematics; Group (periodic table); Alpha beta filter; Unscented transform; Computer science; Moving horizon estimation; Physics; Artificial intelligence","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":[0.000658548,0.0001176155,0.0001866271,0.00007135612,0.0003017262,0.0007256607,0.001744725,0.00004782366,0.00004980778],"category_scores_gemma":[0.0002327554,0.00007439771,0.0001132617,0.00001993553,0.00008578246,0.0004800794,0.0001944398,0.0002983568,0.00002042982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001321312,"about_ca_system_score_gemma":0.00002566542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006399996,"about_ca_topic_score_gemma":0.000003284362,"domain_scores_codex":[0.9988436,0.00006190441,0.0003268898,0.0001539187,0.0004632176,0.000150541],"domain_scores_gemma":[0.9984263,0.0003577772,0.000501328,0.0003437352,0.0002879107,0.0000830115],"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":[0.003043471,0.001395722,0.05029398,0.00002509586,0.002558981,0.003658483,0.00110222,0.01617107,0.01968229,0.1848234,0.070049,0.6471963],"study_design_scores_gemma":[0.009229141,0.0009550001,0.047971,0.0006800191,0.00008240457,0.001907726,0.0000589098,0.6948454,0.0007947272,0.002902234,0.2398462,0.000727298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4125065,0.0005409392,0.5211505,0.05251364,0.007876349,0.000278136,0.0001207747,0.000085434,0.004927767],"genre_scores_gemma":[0.9845864,0.00009542052,0.01182556,0.00159187,0.001704042,0.000001375586,0.000003131689,0.000009434956,0.0001828164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6786743,"threshold_uncertainty_score":0.6997563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153239925333996,"score_gpt":0.2399740719922421,"score_spread":0.2246500794588425,"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."}}