{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003898371,0.0001831263,0.0002498714,0.0003519233,0.0001981333,0.0003396145,0.0002663802,0.00007411723,0.0000295463],"category_scores_gemma":[0.00004116314,0.0001436971,0.0001335991,0.000323963,0.00005348936,0.001281113,0.0001267945,0.0003079668,0.000005786625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008710534,"about_ca_system_score_gemma":0.000144952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004698085,"about_ca_topic_score_gemma":9.308873e-7,"domain_scores_codex":[0.9986125,0.00007442498,0.0003918378,0.0002491615,0.0003999259,0.0002721547],"domain_scores_gemma":[0.9989754,0.0002210302,0.0002269983,0.000164264,0.0002025739,0.000209711],"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":[0.0002827935,0.0002924805,0.003625929,0.0002352992,0.0001506996,0.002313607,0.001489095,0.0401232,0.1398307,0.001261522,0.007868485,0.8025262],"study_design_scores_gemma":[0.0004499837,0.0001469511,0.001276535,0.0003120152,0.00002200169,0.0005504748,0.00002519616,0.9949445,0.0003783048,0.0004584708,0.001264239,0.0001713938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08675002,0.001661676,0.9073489,0.002825376,0.001176713,0.00008076231,0.000001596533,0.00006876812,0.00008618526],"genre_scores_gemma":[0.9069737,0.0001666126,0.09181759,0.0002412277,0.0004877571,6.314418e-7,0.000001524263,0.00002089606,0.0002900896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9548212,"threshold_uncertainty_score":0.5859797,"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."}}