{"id":"W2805111833","doi":"10.1109/icoa.2018.8370583","title":"Real-time UAV path-terrain collision evaluation on FPGA","year":2018,"lang":"en","type":"article","venue":"2018 4th International Conference on Optimization and Applications (ICOA)","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Terrain; Field-programmable gate array; Collision; Computer science; Path (computing); Real-time computing; Collision avoidance; Embedded system; Computer security; Geography; Computer network","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":[0.000157058,0.0004718362,0.0002779035,0.000345488,0.0002238968,0.0004101201,0.0005618315,0.000206142,0.004425341],"category_scores_gemma":[0.0005166375,0.0001616569,0.0001813468,0.0002520019,0.000139331,0.0003735534,0.0001735067,0.0002059218,0.0004382874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121292,"about_ca_system_score_gemma":0.0004432744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003035866,"about_ca_topic_score_gemma":0.003116928,"domain_scores_codex":[0.9998274,0.00002608767,0.000007872977,0.00003218296,0.00006897403,0.00003740695],"domain_scores_gemma":[0.9998043,0.00007808955,0.00002436778,0.00001949431,0.00006165457,0.00001223795],"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":[0.001475975,0.0001620233,0.004762272,0.0005303978,0.0001331188,0.0007248413,0.0002469222,0.5365101,0.1273406,0.007010762,0.009824215,0.3112788],"study_design_scores_gemma":[0.00008841518,0.0004214213,0.002367773,0.00003122332,0.00003395636,0.0002654129,0.00007667372,0.9163911,0.07157058,0.001142521,0.007580886,0.00002992458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3987424,0.0008467475,0.573706,0.0001604211,0.0001242682,0.0001658195,0.0003085309,0.007409007,0.01853681],"genre_scores_gemma":[0.9014837,0.0001204138,0.09482954,0.00004272369,0.000007320308,0.00006438559,0.0001314218,0.00009742045,0.003223005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004425341,"threshold_uncertainty_score":0.01480424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05350136287715848,"score_gpt":0.3292772157054131,"score_spread":0.2757758528282546,"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."}}