{"id":"W4405099165","doi":"10.22215/etd/2024-16188","title":"Relative Pose Determination of a Non-Cooperative Spacecraft using Thermal Imagery","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Spacecraft; Convolutional neural network; Computer science; Field (mathematics); Deep learning; Artificial intelligence; Architecture; Open research; Thermal infrared; Remote sensing; Pose; Space debris; Computer vision; Aerospace engineering; Engineering; Geography; Infrared; Astronomy","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":[0.0003617119,0.0009223999,0.0004298982,0.0006703297,0.0003985758,0.0008659604,0.0004703025,0.000575617,0.003499846],"category_scores_gemma":[0.001210606,0.0003000159,0.0006136383,0.0006894345,0.0003547514,0.001024756,0.0008785178,0.00105141,0.002236716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138294,"about_ca_system_score_gemma":0.0007742809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002436379,"about_ca_topic_score_gemma":0.005807103,"domain_scores_codex":[0.9996603,0.00003937407,0.00001056588,0.0001437858,0.0001122907,0.00003378175],"domain_scores_gemma":[0.9997506,0.00004193662,0.00003552126,0.00006732353,0.00007014027,0.00003448658],"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":[0.0004581104,0.0002423246,0.01303328,0.0004283588,0.0001659805,0.0003872295,0.0007108611,0.2150561,0.1051399,0.008679619,0.02193077,0.6337674],"study_design_scores_gemma":[0.00004997784,0.0006169795,0.03887927,0.000212726,0.00008467145,0.0006492861,0.001138907,0.8118784,0.07341614,0.01654426,0.05639095,0.0001384808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2654659,0.001076723,0.6973516,0.0006836633,0.0005189489,0.000171567,0.003074351,0.002888623,0.02876858],"genre_scores_gemma":[0.7458202,0.0009660345,0.2295746,0.0001879277,0.0001589125,0.0001056682,0.006664523,0.0003578035,0.01616433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003499846,"threshold_uncertainty_score":0.01170814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006684370999233538,"score_gpt":0.2451359330498356,"score_spread":0.2384515620506021,"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."}}