{"id":"W2039844146","doi":"10.1109/ccece.2014.6901032","title":"Relative localization with symmetry preserving observers","year":2014,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Control theory (sociology); Extended Kalman filter; Robustness (evolution); Invariant extended Kalman filter; Computer science; Initialization; Estimator; Kalman filter; Nonlinear system; Observer (physics); Mathematics; 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":[0.00006246413,0.00009314501,0.00008588743,0.00007311849,0.00005250877,0.00002308344,0.0001105032,0.00007976097,0.00008232582],"category_scores_gemma":[0.00005845681,0.00007304133,0.00001619743,0.0002956891,0.00003090516,0.000223342,0.00002144021,0.00007947793,0.00003625636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003241596,"about_ca_system_score_gemma":0.000003708299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001286538,"about_ca_topic_score_gemma":0.00002563274,"domain_scores_codex":[0.9995443,0.00001202902,0.0001004981,0.0000994415,0.0001035361,0.0001401435],"domain_scores_gemma":[0.9997045,0.00003680788,0.00001412467,0.0001775979,0.00004190961,0.00002500738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001201597,0.00001658588,0.03222062,0.0001628842,0.00009075172,0.000002641973,0.0003878285,0.5637839,0.0002622112,0.3858018,0.007987421,0.009271358],"study_design_scores_gemma":[0.0004128041,0.00007048902,0.001996055,0.00004783063,0.00001763281,0.000002713471,0.0003410238,0.9456477,0.02864691,0.004291518,0.01823588,0.0002893994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01064021,0.00003527576,0.8996451,0.00004912505,0.00007356942,0.00007601883,5.850702e-7,0.001485114,0.08799499],"genre_scores_gemma":[0.9957801,0.00001224435,0.003608556,0.00006905069,0.00001884562,0.00000744189,0.000007978754,0.00002303689,0.0004727687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9851398,"threshold_uncertainty_score":0.2978539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006271543894497721,"score_gpt":0.1776856434891809,"score_spread":0.1714140995946832,"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."}}