{"id":"W4402648390","doi":"10.2514/1.a35973","title":"Real-Time Stereovision-Based Spacecraft Pose Determination Using Convolutional Neural Networks","year":2024,"lang":"en","type":"article","venue":"Journal of Spacecraft and Rockets","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Spacecraft; Convolutional neural network; Computer science; Artificial intelligence; Computer vision; Remote sensing; Aerospace engineering; Geology; 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":[0.0002843233,0.001029973,0.0006300288,0.0006348187,0.0002893716,0.0005627496,0.001027676,0.0006306692,0.00270026],"category_scores_gemma":[0.0007014905,0.000449375,0.0004809464,0.0007769957,0.0002295207,0.0006630496,0.0006180881,0.0008902255,0.001010292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000735691,"about_ca_system_score_gemma":0.001033964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01854732,"about_ca_topic_score_gemma":0.02843192,"domain_scores_codex":[0.9997492,0.00001726324,0.00000941803,0.00008740798,0.00008222871,0.00005444849],"domain_scores_gemma":[0.9997699,0.00005268225,0.0000298097,0.00003815796,0.00009022094,0.00001927376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001895623,0.0001170103,0.001233896,0.00007244811,0.00009340088,0.00008041269,0.000035905,0.218989,0.03767528,0.001639242,0.005576459,0.7342974],"study_design_scores_gemma":[0.000003621128,0.00002494914,0.0005891201,0.000005494188,0.000009276012,0.0000223988,0.000003806526,0.9929968,0.005073499,0.0006028705,0.0006617926,0.000006445577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07535163,0.001336795,0.912708,0.0002483838,0.0002750827,0.00006576646,0.0006352878,0.003846266,0.005532818],"genre_scores_gemma":[0.792146,0.00099506,0.1921223,0.000257105,0.0001787136,0.00007867777,0.00206035,0.0002187366,0.01194292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01854732,"threshold_uncertainty_score":0.03687876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286852862265977,"score_gpt":0.2857558785398711,"score_spread":0.2728873499172113,"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."}}