{"id":"W2319047305","doi":"10.2514/6.2014-4263","title":"Vision-based Pose and Motion Estimation of Non-cooperative Target for Space Robotic Manipulators","year":2014,"lang":"en","type":"article","venue":"AIAA SPACE 2014 Conference and Exposition","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Center for Theoretical Sciences","keywords":"Computer vision; Artificial intelligence; Pose; Kalman filter; Computer science; Optical flow; Motion estimation; Extended Kalman filter; Photogrammetry; 3D pose estimation; Convergence (economics); Image (mathematics)","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":[0.0001277101,0.0001479196,0.0001938933,0.00009699326,0.00008805534,0.00005943966,0.00003231005,0.0001004384,0.00001155987],"category_scores_gemma":[0.00002819083,0.0001461435,0.00002654586,0.0000668994,0.0000452639,0.0002033952,0.000007258519,0.00005430201,0.000004117886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002053413,"about_ca_system_score_gemma":0.00001255031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002688439,"about_ca_topic_score_gemma":0.00001002699,"domain_scores_codex":[0.9993783,0.00003025152,0.0001776405,0.0001779921,0.00009705063,0.0001387927],"domain_scores_gemma":[0.9995581,0.00007132719,0.00005938897,0.000116516,0.0001274742,0.00006717585],"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":[0.00002628991,0.00002423532,0.0002668444,0.0001938541,0.00001212424,2.114134e-7,0.0001967125,0.9545572,0.0310284,0.007776152,0.0003652567,0.005552652],"study_design_scores_gemma":[0.0005202549,0.0003645654,0.002072018,0.000113011,0.0000309209,0.000001142988,0.00005613869,0.9582302,0.03772338,0.0006920492,0.00003822586,0.0001581092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1818432,0.00004119819,0.8173361,0.0002577998,0.0001047652,0.0002547723,0.000006411626,0.00004042239,0.0001154075],"genre_scores_gemma":[0.9850332,0.00004261818,0.01463974,0.00003463282,0.00003758909,0.00001619705,0.0001558491,0.00001961757,0.00002061344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.80319,"threshold_uncertainty_score":0.595956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007251796876834158,"score_gpt":0.2209608206057246,"score_spread":0.2137090237288904,"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."}}