{"id":"W2164769497","doi":"10.1109/icma.2005.1626777","title":"Navigation with IMU/GPS/digital compass with unscented Kalman filter","year":2006,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Inertial measurement unit; Global Positioning System; Compass; Kalman filter; Computer science; GPS/INS; Noise (video); Precision Lightweight GPS Receiver; Assisted GPS; Computer vision; Artificial intelligence; Geography; Telecommunications; Gps receiver","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005945108,0.000818727,0.00090506,0.0007359291,0.0004453245,0.0006977744,0.0007914334,0.000581768,0.001569282],"category_scores_gemma":[0.001252728,0.000402041,0.0007315922,0.001021501,0.0003337487,0.001211769,0.0009127233,0.0006785771,0.001416005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004831313,"about_ca_system_score_gemma":0.001012366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027797,"about_ca_topic_score_gemma":0.0105767,"domain_scores_codex":[0.9991079,0.0001595218,0.0000685939,0.0002111644,0.0003923306,0.00006042397],"domain_scores_gemma":[0.999626,0.00004336993,0.00005186218,0.00009697126,0.0001684959,0.00001324485],"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":[0.0004473041,0.0001767849,0.005871885,0.000501811,0.0003749743,0.0001675937,0.0002725889,0.28003,0.02764011,0.01133465,0.006135589,0.6670468],"study_design_scores_gemma":[0.0000705241,0.0002161772,0.002524644,0.00002864397,0.0001085011,0.0001328351,0.00003270773,0.9668651,0.01435473,0.00310222,0.01251762,0.00004629593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005959686,0.0002255147,0.9911323,0.00004214767,0.00006535863,0.0000504903,0.00008629314,0.001344806,0.001093346],"genre_scores_gemma":[0.3474131,0.0007145091,0.6438475,0.0001373778,0.0001181706,0.0003496595,0.0007078509,0.0001153037,0.00659655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01027797,"threshold_uncertainty_score":0.02043635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007463086523565589,"score_gpt":0.2006033444370807,"score_spread":0.1931402579135151,"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."}}