{"id":"W2985525587","doi":"10.1139/juvs-2017-0004","title":"Recent advances in unmanned aerial vehicles real-time trajectory planning","year":2019,"lang":"en","type":"article","venue":"Journal of Unmanned Vehicle Systems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Trajectory; Class (philosophy); Fixed wing; Computer science; Autonomy; Aeronautics; Drone; Work (physics); Motion planning; Operations research; Real-time computing; Aerospace engineering; Artificial intelligence; Engineering; Political science; Wing; Robot","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002102173,0.0003133046,0.0008481595,0.0005766053,0.00009090247,0.0002318177,0.00136894,0.0001893901,0.00001224606],"category_scores_gemma":[0.0001204556,0.0002762008,0.0001561452,0.0007473879,0.00004316603,0.001733094,0.0001314425,0.0005214105,0.0001613446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997819,"about_ca_system_score_gemma":0.0002681205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002543523,"about_ca_topic_score_gemma":0.000001037356,"domain_scores_codex":[0.9960844,0.0005168566,0.001358415,0.000442692,0.0009409487,0.0006566885],"domain_scores_gemma":[0.9973829,0.0003872771,0.001121126,0.0005657377,0.0002983911,0.0002445907],"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":[0.0009035015,0.0006638526,0.04603615,0.0004535713,0.0002513238,0.002221593,0.007222584,0.8145324,0.07103898,0.001632408,0.004129016,0.0509146],"study_design_scores_gemma":[0.01050678,0.003314751,0.04280132,0.004693649,0.00005511287,0.001659511,0.001946666,0.8929248,0.003124787,0.0006176088,0.03667035,0.001684607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691086,0.01313886,0.006381007,0.0005195306,0.007035505,0.0005933088,0.000005625372,0.0001721703,0.003045348],"genre_scores_gemma":[0.9827638,0.001542474,0.01370539,0.00008996766,0.001230725,0.00001205972,0.000003629382,0.00006243466,0.000589522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07839243,"threshold_uncertainty_score":0.999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519866368504413,"score_gpt":0.2612602816377231,"score_spread":0.246061617952679,"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."}}