{"id":"W2149030246","doi":"10.1109/mesa.2010.5552086","title":"Fault-tolerant Localization for multi-UAV cooperative flight","year":2010,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Global Positioning System; Computer science; Inertial navigation system; Real-time computing; Kalman filter; Inertial measurement unit; Dilution of precision; Fault (geology); Simulation; Orientation (vector space); Artificial intelligence; Mathematics","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":[0.0000576667,0.0001167342,0.0001116193,0.0000487261,0.00008250702,0.0000466028,0.00006131756,0.0001021635,0.0001184517],"category_scores_gemma":[0.00003499982,0.0001006944,0.000035334,0.0001104339,0.00001953482,0.00008539569,0.00000559929,0.00008445363,0.00003792535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001564958,"about_ca_system_score_gemma":0.00001095608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001113008,"about_ca_topic_score_gemma":0.0001931715,"domain_scores_codex":[0.9994603,0.000006939316,0.0001713925,0.0001277245,0.00007503854,0.0001585713],"domain_scores_gemma":[0.9996263,0.00002719108,0.00001353426,0.0001328951,0.0001402087,0.00005982168],"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":[0.000004768977,0.00002796388,0.00009334436,0.00002787271,0.0000153029,6.952946e-7,0.0001648961,0.9619677,0.02192562,0.01188082,0.002788471,0.001102535],"study_design_scores_gemma":[0.0004740269,0.00001961429,0.00005736953,0.000005397442,0.000007998921,0.000001083902,0.00002995204,0.9386678,0.04132279,0.00003028757,0.01923652,0.0001471187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009135935,0.00001789225,0.9882532,0.00005859375,0.0006129882,0.0003061042,0.00001050101,0.0002554658,0.001349325],"genre_scores_gemma":[0.9663025,0.00001266727,0.03214804,0.0001972227,0.0001351586,0.00003354102,0.0001291268,0.00004787119,0.0009939068],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9571666,"threshold_uncertainty_score":0.4106197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718166978146843,"score_gpt":0.2458814383215194,"score_spread":0.2286997685400509,"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."}}