{"id":"W2637786890","doi":"10.1109/ccece.2017.7946749","title":"EKF and UKF localization of a moving RF ground target using a flying vehicle","year":2017,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Extended Kalman filter; Kalman filter; Control theory (sociology); Computer science; Process (computing); Filter (signal processing); Position (finance); SIGNAL (programming language); Ground truth; Computer vision; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002084295,0.0002991944,0.0003361379,0.0002154361,0.0002175635,0.0003727045,0.0003021593,0.0005621492,0.0006929074],"category_scores_gemma":[0.0008189498,0.0001120123,0.000252891,0.0002156976,0.0002661069,0.0004183701,0.0002330034,0.0003132047,0.0002329008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527929,"about_ca_system_score_gemma":0.0004050989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213378,"about_ca_topic_score_gemma":0.005377162,"domain_scores_codex":[0.9998716,0.00002655476,0.00001008242,0.0000315379,0.00004311028,0.00001695535],"domain_scores_gemma":[0.999799,0.00007581915,0.00002536228,0.00001785879,0.00007409007,0.000007874434],"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":[0.00009254535,0.00001776479,0.00221971,0.00009540459,0.00002821297,0.0002255509,0.0001282714,0.8608664,0.01477143,0.006290788,0.0006792895,0.1145846],"study_design_scores_gemma":[0.000004639207,0.00003108576,0.0005430465,0.000003443807,0.000005533543,0.00005478757,0.00001725829,0.996237,0.001902386,0.000436936,0.0007565423,0.000007258349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06147703,0.0002798881,0.9357073,0.00007600457,0.00006410637,0.00001673409,0.00003420408,0.0002307568,0.002113931],"genre_scores_gemma":[0.8619314,0.0002447544,0.1322651,0.00002880862,0.00002349444,0.00004777277,0.00008571212,0.00001806808,0.005354963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01213378,"threshold_uncertainty_score":0.02412629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910197344419966,"score_gpt":0.2405573156778625,"score_spread":0.2214553422336628,"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."}}