{"id":"W2140758255","doi":"10.1109/crv.2014.40","title":"A Proof-of-Concept Demonstration of Visual Teach and Repeat on a Quadrocopter Using an Altitude Sensor and a Monocular Camera","year":2014,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Eidgenössische Technische Hochschule Zürich","keywords":"Computer vision; Artificial intelligence; Computer science; Global Positioning System; Monocular; Robot; Inertial measurement unit; Tracking (education); Monocular vision; Real-time computing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008877928,0.00009109957,0.000146309,0.00006278302,0.0000250059,0.00001622721,0.00001850662,0.0000588556,0.000004565612],"category_scores_gemma":[0.00001291387,0.00008279469,0.00001568171,0.00004857057,0.00003744041,0.00008007231,0.000005695675,0.00004579122,1.179881e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001036379,"about_ca_system_score_gemma":0.000005797892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007078012,"about_ca_topic_score_gemma":0.00001768587,"domain_scores_codex":[0.9994793,0.00003373869,0.0001890138,0.0001264265,0.0000863954,0.00008511754],"domain_scores_gemma":[0.9997652,0.0000219948,0.00003436106,0.00009796584,0.00003507709,0.00004537],"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":[0.00002174259,0.00007585997,0.003466191,0.0001482367,0.00003625155,0.000001420024,0.000877732,0.8795798,0.08205485,0.001206058,0.000005367127,0.03252647],"study_design_scores_gemma":[0.000236646,0.0001900799,0.0004463299,0.00003420695,0.00001667088,0.000004214496,0.00008330111,0.8769144,0.1219509,0.0000250774,0.00001326748,0.00008489599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6749844,0.00002900374,0.3246491,0.000008373024,0.00001423376,0.0001096128,7.510678e-7,0.00002126984,0.0001832282],"genre_scores_gemma":[0.9869272,0.000003466908,0.01299568,0.00001714474,0.00002763046,0.000001515454,0.000005880182,0.00001429339,0.000007267095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3119427,"threshold_uncertainty_score":0.337627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376050395488452,"score_gpt":0.2451839546298042,"score_spread":0.2314234506749197,"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."}}