{"id":"W1564500635","doi":"","title":"Comparison of angle-only filtering algorithms in 3D using EKF, UKF, PF, PFF, and ensemble KF","year":2015,"lang":"en","type":"article","venue":"International Conference on Information Fusion","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Extended Kalman filter; Ensemble Kalman filter; Particle filter; Kalman filter; Invariant extended Kalman filter; Cartesian coordinate system; Monte Carlo method; Algorithm; Unscented transform; Computer science; State vector; Control theory (sociology); Filter (signal processing); Mathematics; Computer vision; Artificial intelligence; Physics; Statistics; Geometry","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":[0.0003649287,0.0001412522,0.0001967107,0.0003701458,0.00006407246,0.0002362776,0.0005042176,0.00009397376,0.00004582766],"category_scores_gemma":[0.0001000736,0.0001363186,0.00002740341,0.0002236484,0.00004191284,0.001730264,0.0003211109,0.0001897534,0.00003563186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007768894,"about_ca_system_score_gemma":0.0001091634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001643375,"about_ca_topic_score_gemma":0.00001864985,"domain_scores_codex":[0.9984244,0.00004721764,0.0005996146,0.0001858573,0.0005713855,0.0001715314],"domain_scores_gemma":[0.9988742,0.00006748227,0.000316902,0.0002494045,0.0003958129,0.00009614147],"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":[0.000301272,0.0003809865,0.03581235,0.00008086584,0.00003989987,0.00001592109,0.01940048,0.03837821,0.005623676,0.2222844,0.003047077,0.6746348],"study_design_scores_gemma":[0.000689754,0.0001131451,0.002976769,0.0001991013,0.000002154552,0.00002710204,0.0005460918,0.9889383,0.001805556,0.001023625,0.0035069,0.0001714998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4347855,0.0000369235,0.5483498,0.0004304231,0.001504266,0.0001838287,0.00003189347,0.00009644076,0.01458088],"genre_scores_gemma":[0.9532121,0.00002892678,0.04645183,0.0001447371,0.00004999519,0.000003574203,0.00007162627,0.000004222752,0.00003302498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9505601,"threshold_uncertainty_score":0.555891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1067799483226501,"score_gpt":0.3455347602713912,"score_spread":0.2387548119487411,"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."}}