{"id":"W4320038380","doi":"10.1007/978-981-19-6613-2_290","title":"Vision-Based Autonomous Landing of a Quadrotor UAV on a Double-Layered Nested Landing Marker","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Low altitude; Altitude (triangle); Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001857385,0.0006163673,0.0007925379,0.001172512,0.00003950368,0.00005495447,0.0002223126,0.0007690093,0.00004814844],"category_scores_gemma":[0.0002051991,0.0006248898,0.0002195763,0.0005266272,0.00001821766,0.00004428189,0.00002422774,0.001064277,0.00002603034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004975995,"about_ca_system_score_gemma":0.00005968626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001876902,"about_ca_topic_score_gemma":0.00002502725,"domain_scores_codex":[0.9978665,0.00001423348,0.0006792104,0.0004478114,0.0004152042,0.000577091],"domain_scores_gemma":[0.9984325,0.0009021931,0.0001063565,0.0003714078,0.00005930744,0.0001282455],"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":[0.00009101495,0.00001738707,0.00005922536,0.0003209322,0.00007697507,0.00007222671,0.00003580493,0.9907172,0.003156432,0.002766265,0.00002210902,0.002664388],"study_design_scores_gemma":[0.0009392452,0.0001378554,0.0001138558,0.0009017357,0.0000414349,0.000004940034,2.479022e-7,0.9936151,0.002666856,0.0003661114,0.0005877134,0.000624923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001594101,0.0005594179,0.987184,0.00007061459,0.0008877082,0.001090095,0.00003700648,0.00143113,0.007145889],"genre_scores_gemma":[0.9964238,0.00008172356,0.001760368,0.00005098406,0.0003009331,0.00004790561,0.0001690231,0.0004597656,0.0007055168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9948297,"threshold_uncertainty_score":0.9996203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229025275778316,"score_gpt":0.2183794567913467,"score_spread":0.2060892040335636,"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."}}