{"id":"W3021217165","doi":"10.3390/electronics9050768","title":"Improved Kalman Filter Variants for UAV Tracking with Radar Motion Models","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Radar tracker; Computer science; Kalman filter; Radar; Extended Kalman filter; Computer vision; Real-time computing; Remote sensing; Artificial intelligence; Geography; Telecommunications","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":[0.001259232,0.001006534,0.0008470991,0.0006039542,0.0003648291,0.0008491433,0.0009646597,0.0008756354,0.001970949],"category_scores_gemma":[0.003460288,0.0003950873,0.0009568548,0.0008763791,0.0005121471,0.001393154,0.0006505945,0.001465022,0.0008008986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007480045,"about_ca_system_score_gemma":0.001216551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986439,"about_ca_topic_score_gemma":0.01136079,"domain_scores_codex":[0.9991441,0.0001754181,0.0000686579,0.00026259,0.0002729683,0.00007626921],"domain_scores_gemma":[0.999052,0.000361068,0.0001123796,0.0001082969,0.0003469539,0.00001925241],"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":[0.0001251808,0.00003348881,0.001152175,0.0001607016,0.00008972138,0.00006881289,0.0001206371,0.8182855,0.003974205,0.02392184,0.001984442,0.1500833],"study_design_scores_gemma":[0.000008363576,0.00002760526,0.0003011605,0.000008729558,0.00001583084,0.00002036185,0.000006886339,0.9951331,0.0007522744,0.002131832,0.001582699,0.00001107118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002996309,0.0003594228,0.9955882,0.00003971848,0.0000569964,0.00001120488,0.00003643347,0.0001375186,0.0007741799],"genre_scores_gemma":[0.5643237,0.002548545,0.4215335,0.0001561719,0.0003050924,0.0002245519,0.001040065,0.0001674629,0.009700872],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01986439,"threshold_uncertainty_score":0.03949749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221220699117521,"score_gpt":0.1969409691605828,"score_spread":0.1847287621694076,"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."}}