{"id":"W4288047701","doi":"10.1109/icuas54217.2022.9836086","title":"Experimental verification of an LiDAR based Gust Rejection System for a Quadrotor UAV","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Unmanned Aircraft Systems (ICUAS)","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cranfield University; McMaster University","keywords":"Lidar; Anemometer; Ranging; Environmental science; Remote sensing; Wind speed; Feed forward; Wind direction; Computer science; Meteorology; Marine engineering; Engineering; Geology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000430113,0.0003982786,0.0003070854,0.0002250605,0.0003219877,0.0002770754,0.0004799638,0.0005551431,0.001612051],"category_scores_gemma":[0.0007722463,0.0001271071,0.0001871548,0.00009597146,0.0002457825,0.0003471305,0.0003105735,0.000288155,0.0003880152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715655,"about_ca_system_score_gemma":0.0002880635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001580503,"about_ca_topic_score_gemma":0.001497164,"domain_scores_codex":[0.9997908,0.0000337048,0.00001819024,0.00004150652,0.00008021586,0.0000355314],"domain_scores_gemma":[0.9994498,0.0001244255,0.00007350892,0.00008270373,0.0002115554,0.00005793668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0018771,0.0008929655,0.01043529,0.0007226877,0.00006428159,0.001421383,0.0008074911,0.0289853,0.900092,0.0004009596,0.0009241276,0.05337648],"study_design_scores_gemma":[0.0004581618,0.02066085,0.03563222,0.00008077437,0.00009816156,0.000850755,0.0009216119,0.2650439,0.6712282,0.0002339126,0.004711483,0.00007988526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806569,0.0000572809,0.017549,0.00007951073,0.00005959124,0.0001147795,0.0001295922,0.0003662502,0.0009869913],"genre_scores_gemma":[0.9957775,0.00002510244,0.003371713,0.00002132827,0.00000350656,0.00003462567,0.00006341212,0.000008073787,0.0006946334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001612051,"threshold_uncertainty_score":0.00539279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281995583592089,"score_gpt":0.2579908955683631,"score_spread":0.2351709397324422,"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."}}