{"id":"W2323384454","doi":"10.2514/6.2012-5048","title":"Vision-based Quadrotor Micro-UAV Position and Yaw Estimation and Control","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heading (navigation); Position (finance); Kalman filter; Computer vision; Computer science; Euler angles; Artificial intelligence; Tracking (education); Yaw; Pose; Extended Kalman filter; Control theory (sociology); Control (management); Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001053729,0.0004253565,0.0003431048,0.0001869087,0.000156381,0.000313173,0.0004143289,0.0002192154,0.001090617],"category_scores_gemma":[0.0002100835,0.0001890942,0.0001666634,0.0001228508,0.0001768296,0.0002986962,0.0002846867,0.0002986492,0.0003847151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002539735,"about_ca_system_score_gemma":0.0002876412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00199599,"about_ca_topic_score_gemma":0.00285352,"domain_scores_codex":[0.9998674,0.00001195003,0.000006727104,0.000043088,0.00005411944,0.00001674136],"domain_scores_gemma":[0.9999034,0.00001706585,0.00002700556,0.00001063224,0.0000308926,0.00001092663],"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":[0.0004435139,0.0001227302,0.002466509,0.0002453022,0.00007996284,0.0002901524,0.0001245672,0.2375621,0.3349865,0.006563828,0.002907885,0.414207],"study_design_scores_gemma":[0.00003091151,0.0003360605,0.001968857,0.000009574423,0.00002098682,0.000170585,0.00002352157,0.9498816,0.04153582,0.0008793562,0.005121807,0.00002099819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03961857,0.0005040259,0.9555529,0.00006798901,0.00008427682,0.00004986931,0.0000584131,0.0008062858,0.003257608],"genre_scores_gemma":[0.8655847,0.0003161177,0.1278561,0.0000638413,0.00004334636,0.0000853204,0.0001096207,0.000044612,0.005896391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00199599,"threshold_uncertainty_score":0.003968716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007684993071630016,"score_gpt":0.2411368673868919,"score_spread":0.2334518743152619,"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."}}