{"id":"W4387187284","doi":"10.3390/robotics12050134","title":"Three-Dimensional Flight Corridor: An Occupancy Checking Process for Unmanned Aerial Vehicle Motion Planning inside Confined Spaces","year":2023,"lang":"en","type":"article","venue":"Robotics","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Obstacle; Polyhedron; Computer science; Motion planning; Process (computing); Regular polygon; Collision avoidance; Bounded function; Trajectory; Obstacle avoidance; Path (computing); Maxima and minima; Occupancy; Computer vision; Artificial intelligence; Aerospace engineering; Collision; Robot; Mathematics; Mobile robot; Engineering; Geography; Geometry; Physics","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":[0.0005216425,0.0005571595,0.0005831148,0.0005288087,0.0005484941,0.0006157659,0.001055943,0.0005509274,0.001537629],"category_scores_gemma":[0.002104717,0.0003007172,0.0006872925,0.0004708518,0.0005893138,0.0007621032,0.001201643,0.0006002961,0.0002043788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003840615,"about_ca_system_score_gemma":0.001655613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009952832,"about_ca_topic_score_gemma":0.008939446,"domain_scores_codex":[0.9995604,0.0001021848,0.00002132758,0.00009608552,0.000149898,0.00007003763],"domain_scores_gemma":[0.9989464,0.0004907627,0.0001678459,0.0001499692,0.0001643629,0.00008077455],"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":[0.0002451934,0.00006830809,0.003841294,0.0001267009,0.0000275837,0.0002391944,0.000401654,0.8159148,0.01148165,0.008815459,0.0009473155,0.1578909],"study_design_scores_gemma":[0.000005226037,0.00003457603,0.0002635673,0.00000601227,0.000002929618,0.00003392353,0.00003548202,0.996461,0.001730823,0.0008726043,0.0005459663,0.000007866181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03740303,0.00008051258,0.9608695,0.00004040766,0.00001162192,0.00006064278,0.00007294804,0.0006606339,0.0008005892],"genre_scores_gemma":[0.6153818,0.00007849107,0.3834104,0.00002610929,0.000007997388,0.0001033879,0.0002793864,0.00009706504,0.0006154005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009952832,"threshold_uncertainty_score":0.01978981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.065493725807536,"score_gpt":0.3190001457847077,"score_spread":0.2535064199771717,"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."}}