{"id":"W156557657","doi":"","title":"3D LASSO: REAL-TIME POSE ESTIMATION FROM 3D DATA FOR AUTONOMOUS SATELLITE SERVICING","year":2005,"lang":"en","type":"article","venue":"ESASP","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer vision; Computer science; Pose; Artificial intelligence; Spacecraft; Iterative closest point; Point cloud; Real-time computing; Engineering; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001128731,0.0001265633,0.0001430882,0.0000478693,0.0000535512,0.00006317756,0.0001754531,0.00008161813,0.00006385406],"category_scores_gemma":[0.00002862284,0.0001370875,0.00002239961,0.00006787425,0.000007011776,0.0002423008,0.00003298005,0.00005724725,0.0001655836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007919823,"about_ca_system_score_gemma":0.00001483844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001768784,"about_ca_topic_score_gemma":0.00008768144,"domain_scores_codex":[0.9992618,0.00001278811,0.0002293208,0.0002071846,0.0000977462,0.0001911537],"domain_scores_gemma":[0.9992918,0.00008481163,0.00003601714,0.0004991755,0.00003292963,0.00005522706],"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":[0.000006060409,0.00001351123,0.00003041856,0.00002881275,0.00002355471,0.000001237039,0.0001685917,0.9381904,0.004675667,0.0001401387,0.001259423,0.05546221],"study_design_scores_gemma":[0.0002660344,0.00001284042,0.0004675255,0.0000300142,0.0000317123,8.227195e-7,0.000005485424,0.9758029,0.001503489,0.0000787736,0.02164445,0.0001559776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1100124,0.0005309916,0.8782964,0.0004879262,0.0006923911,0.0006469815,0.0005285629,0.001180211,0.007624066],"genre_scores_gemma":[0.4166442,0.0002790319,0.5724621,0.0002702149,0.001075009,0.00001660518,0.008249811,0.0001537999,0.0008492717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3066318,"threshold_uncertainty_score":0.5590264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667910877750263,"score_gpt":0.2373326360455761,"score_spread":0.2206535272680735,"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."}}