{"id":"W2327927025","doi":"10.2514/6.2008-6667","title":"Vision-Based UAV Navigation","year":2008,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation and Control Conference and Exhibit","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"General Dynamics (Canada); Carleton University","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence","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":[0.0001253902,0.000405731,0.0004604654,0.0004044512,0.0002841747,0.0006156235,0.0005288039,0.0005336296,0.001908439],"category_scores_gemma":[0.0003705151,0.000236919,0.0002299878,0.0004487633,0.00020541,0.0005476181,0.0004404305,0.0003925362,0.0008636658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003372035,"about_ca_system_score_gemma":0.0003146917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00528904,"about_ca_topic_score_gemma":0.006152987,"domain_scores_codex":[0.9998543,0.00001820609,0.000003529392,0.00003692929,0.00007274322,0.00001425871],"domain_scores_gemma":[0.9999194,0.00001530644,0.000006703029,0.0000136434,0.00003852724,0.000006508141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003512503,0.0001144514,0.001124077,0.0001952731,0.00009695283,0.0001343975,0.00006879701,0.1966082,0.1118244,0.0180419,0.0133191,0.6581213],"study_design_scores_gemma":[0.00002096926,0.00006079747,0.001159843,0.00001749486,0.00001831007,0.00007161951,0.00001321685,0.9715252,0.0128762,0.004574155,0.009644804,0.00001733162],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04076957,0.006287608,0.9139505,0.0004036882,0.0009241431,0.00005307077,0.0002426509,0.002251785,0.03511699],"genre_scores_gemma":[0.8159248,0.002280454,0.166024,0.0002316813,0.0001733375,0.00005064506,0.0004790057,0.0001087844,0.01472724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00528904,"threshold_uncertainty_score":0.01051652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060675675765639,"score_gpt":0.2142910847872011,"score_spread":0.2036843280295447,"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."}}