{"id":"W4387741117","doi":"10.2514/6.2023-4668","title":"4D LiDAR-based Rate Estimation for Space Debris Synchronization","year":2023,"lang":"en","type":"article","venue":"","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lidar; Space debris; Centroid; Ranging; Kalman filter; Computer science; Spacecraft; Remote sensing; Position (finance); Point cloud; Range (aeronautics); Minimum bounding box; Bounding overwatch; Geodesy; Geology; Computer vision; Aerospace engineering; Artificial intelligence; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005585806,0.0005468133,0.0007067106,0.001322007,0.000357035,0.0006792908,0.0007474095,0.0004360957,0.0008534075],"category_scores_gemma":[0.001871928,0.0003593087,0.0004730291,0.0008024505,0.0002064782,0.0009265026,0.001118395,0.0004832768,0.0006043789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439993,"about_ca_system_score_gemma":0.0006635617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260041,"about_ca_topic_score_gemma":0.002178526,"domain_scores_codex":[0.9994957,0.00009249131,0.00002767453,0.0000781301,0.0002555199,0.0000504467],"domain_scores_gemma":[0.9993455,0.0001402636,0.0001633892,0.00009431503,0.0002308585,0.00002566169],"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":[0.0002864344,0.00009142752,0.009352705,0.0001991271,0.00007181246,0.0003505674,0.0002818233,0.5922549,0.04799166,0.006078751,0.002017412,0.3410233],"study_design_scores_gemma":[0.00001036873,0.00004432818,0.001622932,0.00001852228,0.00001032238,0.00009745473,0.00003561278,0.9865449,0.0079659,0.001331378,0.002290761,0.0000276339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05521241,0.0004647249,0.9406542,0.00008175965,0.00009474622,0.00005024683,0.0001472381,0.001037361,0.002257364],"genre_scores_gemma":[0.779462,0.0003645453,0.2180692,0.00004914307,0.00005876229,0.0001065582,0.0003045149,0.00006654437,0.001518807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002260041,"threshold_uncertainty_score":0.004493773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007810609573168884,"score_gpt":0.215444928288081,"score_spread":0.2076343187149121,"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."}}