{"id":"W4403322202","doi":"10.48550/arxiv.2410.03846","title":"A General Nonlinear Observer Design for Inertial Navigation Systems with Almost Global Stability Guarantees","year":2024,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inertial navigation system; Estimation; Inertial frame of reference; State (computer science); Computer science; Inertial measurement unit; Geodesy; Geography; Artificial intelligence; Engineering; Physics; Systems engineering; Classical mechanics; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006671272,0.0009140496,0.0005435264,0.0002247174,0.0002293263,0.0005965843,0.000729168,0.0007750172,0.001746905],"category_scores_gemma":[0.001328137,0.0003196519,0.0005176471,0.0002188536,0.0006003925,0.0007434216,0.001029055,0.0008285077,0.0005044049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004185951,"about_ca_system_score_gemma":0.0006292886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798986,"about_ca_topic_score_gemma":0.001917755,"domain_scores_codex":[0.9995897,0.00007546651,0.00002316109,0.0001382356,0.0001408927,0.00003263964],"domain_scores_gemma":[0.9996821,0.00007613844,0.00007284342,0.00004519303,0.0001123605,0.00001140054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001507214,0.00005187061,0.000842188,0.0004324421,0.00006616786,0.0002689329,0.0003244474,0.7947357,0.04989644,0.06973774,0.001893255,0.08160013],"study_design_scores_gemma":[0.00001277689,0.00009691244,0.000165487,0.00001307866,0.00001036371,0.00002836278,0.00001174842,0.9902153,0.002262289,0.005333536,0.001842709,0.000007472323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003429539,0.00008750574,0.9947203,0.00004054396,0.00002000876,0.00002103762,0.00001965308,0.00007922376,0.001582108],"genre_scores_gemma":[0.8733522,0.0004740408,0.1197082,0.0001127736,0.0001063137,0.0003237731,0.0002393381,0.00004733782,0.005636062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001798986,"threshold_uncertainty_score":0.005843937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05263422838109646,"score_gpt":0.2657666540036973,"score_spread":0.2131324256226008,"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."}}