{"id":"W2771631450","doi":"10.1109/ssd.2017.8166929","title":"Fast path planning for unmanned aerial vehicle using embedded GPU System","year":2017,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Motion planning; Path (computing); Real-time computing; Terrain; Speedup; Point (geometry); Simulation; Parallel computing; Robot; Artificial intelligence; Operating system","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":[0.0001258263,0.0004625282,0.0002913917,0.0003154793,0.0002472069,0.000390548,0.0007739475,0.0003174607,0.003498885],"category_scores_gemma":[0.0004458317,0.0002135306,0.0002597708,0.0003560669,0.0001642757,0.0003693816,0.0003251837,0.0003331838,0.0005657125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000520619,"about_ca_system_score_gemma":0.0007468623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009564466,"about_ca_topic_score_gemma":0.01107072,"domain_scores_codex":[0.9999098,0.00001330486,0.000004351771,0.00002261422,0.00003574022,0.00001412881],"domain_scores_gemma":[0.9998842,0.0000309203,0.000009518525,0.00001791529,0.00004717014,0.00001016293],"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":[0.0004827471,0.0001134119,0.003512542,0.0003166973,0.00009115921,0.0003966026,0.0002996267,0.5531512,0.05696192,0.009159039,0.01544788,0.3600672],"study_design_scores_gemma":[0.00002783276,0.00003950295,0.0003639622,0.000006511082,0.00000745184,0.00003715967,0.00002074922,0.988694,0.005757927,0.001110885,0.003928232,0.000005768812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1369538,0.0005128887,0.8373019,0.0002239616,0.0001071542,0.0001035216,0.0004023263,0.01210682,0.01228768],"genre_scores_gemma":[0.4751168,0.0002228055,0.5193618,0.00005703599,0.00001144978,0.0001399455,0.0006433049,0.0004039163,0.004042936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009564466,"threshold_uncertainty_score":0.01901758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06004812626135742,"score_gpt":0.316477620768478,"score_spread":0.2564294945071206,"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."}}