{"id":"W2762248659","doi":"10.1142/s2301385017400064","title":"3D Mapping for Autonomous Quadrotor Aircraft","year":2017,"lang":"en","type":"article","venue":"Unmanned Systems","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; University of New Brunswick","funders":"New York Institute of Technology; Defence Research and Development Canada","keywords":"Payload (computing); Obstacle avoidance; Robotics; Robot; Artificial intelligence; Computer science; Global Positioning System; Motion planning; Obstacle; Autonomous system (mathematics); Mobile robot; Computer vision; Autonomous robot; Mobile robot navigation; Real-time computing; Robot control; Geography; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006390765,0.0004279671,0.0002242671,0.0003177832,0.0002263072,0.0003320204,0.0002529855,0.0002989339,0.001623315],"category_scores_gemma":[0.0002046331,0.000156327,0.0003231702,0.000202849,0.0001785219,0.0002844537,0.000683139,0.0002642681,0.0005732644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449048,"about_ca_system_score_gemma":0.0002539026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002005191,"about_ca_topic_score_gemma":0.002266164,"domain_scores_codex":[0.9999127,0.00001818779,0.000003585749,0.00001749915,0.00003937313,0.000008601255],"domain_scores_gemma":[0.9999467,0.0000102593,0.000006285085,0.00001611648,0.00001468929,0.000005982156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001711364,0.00006740114,0.002257665,0.0002351283,0.0000521097,0.0006226827,0.0004756103,0.2212795,0.2439133,0.01563771,0.005147657,0.5101402],"study_design_scores_gemma":[0.00002225816,0.0001047278,0.001779319,0.00001932381,0.00001532235,0.0005775754,0.0001757187,0.9442951,0.02697547,0.005251697,0.0207542,0.00002932585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04520968,0.0003813768,0.9477517,0.0001511761,0.00007296635,0.00004290886,0.0001300489,0.001211611,0.005048648],"genre_scores_gemma":[0.545639,0.0004221145,0.4496039,0.00007177982,0.00002125662,0.00007817497,0.0003384516,0.0001116256,0.003713635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002005191,"threshold_uncertainty_score":0.00543046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260605503120344,"score_gpt":0.2358817781250999,"score_spread":0.2098212278130655,"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."}}