{"id":"W3012325505","doi":"10.22215/etd/2020-13960","title":"Development of a Computer Vision Framework for Improved Remotely Piloted Aircraft Operations","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Payload (computing); Computer vision; Computer science; Artificial intelligence; Image quality; Image processing; Convolutional neural network; Real-time computing; Task (project management); Position (finance); Image sensor; Image (mathematics); Engineering; Systems 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":[0.0005625654,0.0006617901,0.0005440678,0.0005765944,0.0003917821,0.0009872509,0.00121313,0.000826291,0.002509577],"category_scores_gemma":[0.0008544332,0.0003411592,0.0008414717,0.0003398839,0.0006158084,0.0009131643,0.000873398,0.001255751,0.0009206667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009528007,"about_ca_system_score_gemma":0.001063916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008049364,"about_ca_topic_score_gemma":0.006320276,"domain_scores_codex":[0.9996917,0.00004339847,0.00001219081,0.00008983167,0.0001254396,0.00003740454],"domain_scores_gemma":[0.9997643,0.00005693437,0.0000228076,0.00002413534,0.0001134905,0.00001842213],"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":[0.00006284465,0.0001356947,0.0004884631,0.0001970476,0.00007508268,0.0002414092,0.0001516407,0.5529239,0.04794751,0.1140884,0.004533637,0.2791544],"study_design_scores_gemma":[0.000005938247,0.00004158197,0.0001792748,0.00001867114,0.000009656317,0.00004799439,0.00001653768,0.9772462,0.005650583,0.009849492,0.00692451,0.000009617755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002001038,0.0001614899,0.9956633,0.00007252624,0.00002436801,0.00003341459,0.0000217745,0.0004191061,0.001603066],"genre_scores_gemma":[0.1334872,0.0005455695,0.8604614,0.00007624194,0.00007261222,0.0001331366,0.0001528927,0.0001438297,0.004927177],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008049364,"threshold_uncertainty_score":0.01600504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156638411598497,"score_gpt":0.2615350220069855,"score_spread":0.2458711808471358,"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."}}