{"id":"W4387914190","doi":"10.1109/codit58514.2023.10284084","title":"Nonlinear Observer for Quadrotor Waypoint Navigation Using Only Range Measurements","year":2023,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Waypoint; Control theory (sociology); Estimator; Nonlinear system; Kalman filter; Extended Kalman filter; Computer science; Observer (physics); Range (aeronautics); Population; Mathematics; Engineering; Statistics; Physics; Real-time computing; Artificial intelligence; Aerospace engineering","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":[0.0003132292,0.0003812706,0.0004618085,0.0002065207,0.0001539444,0.00044643,0.000461856,0.0004411312,0.0009536312],"category_scores_gemma":[0.0009192668,0.0001846699,0.00028283,0.0001589724,0.0002979815,0.0005029136,0.0004603127,0.0006835512,0.0004133792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004113535,"about_ca_system_score_gemma":0.0003615387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218342,"about_ca_topic_score_gemma":0.002672252,"domain_scores_codex":[0.9997736,0.00003996403,0.00001240337,0.00005862596,0.0000965129,0.00001886925],"domain_scores_gemma":[0.9997743,0.00006283543,0.00004419191,0.00002483916,0.00008501277,0.000008826194],"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":[0.0003645939,0.00007515818,0.003983021,0.0003540207,0.0001325157,0.0003778086,0.0003403885,0.6406307,0.07348403,0.03320732,0.002324886,0.2447255],"study_design_scores_gemma":[0.00001210256,0.00006489393,0.0005322223,0.000007450731,0.00001150734,0.00003588345,0.000009334782,0.9935845,0.002963756,0.0008507959,0.00191755,0.00001002783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008715198,0.0001790565,0.9897593,0.00003284431,0.00005153809,0.00001319177,0.00001949435,0.0001610461,0.001068367],"genre_scores_gemma":[0.8736309,0.0005599665,0.1188292,0.00006453752,0.00008831233,0.0001074679,0.0001748216,0.00003429118,0.006510443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003218342,"threshold_uncertainty_score":0.006399214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1451005471637041,"score_gpt":0.3248393747353517,"score_spread":0.1797388275716476,"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."}}