{"id":"W2154952107","doi":"10.1002/rob.21409","title":"Field trial results of planetary rover visual motion estimation in Mars analogue terrain","year":2012,"lang":"en","type":"article","venue":"Journal of Field Robotics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Mars Exploration Program; Traverse; Terrain; Visual odometry; Inertial measurement unit; Computer science; Artificial intelligence; Odometry; Computer vision; Exploration of Mars; Simulation; Remote sensing; Robot; Mobile robot; Geodesy; Geography","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":[0.0006708474,0.0004620721,0.0004762518,0.0006839745,0.0003252401,0.0003361247,0.0004746966,0.000494805,0.001127982],"category_scores_gemma":[0.001744905,0.0001524851,0.0001750857,0.0003732626,0.0003207756,0.0003517341,0.0004374601,0.0002852099,0.0002438103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002722667,"about_ca_system_score_gemma":0.0001827422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005591643,"about_ca_topic_score_gemma":0.005245225,"domain_scores_codex":[0.9995614,0.0001277754,0.00002258279,0.00008453849,0.0001197549,0.00008395335],"domain_scores_gemma":[0.9987506,0.0004713915,0.0001079719,0.0001957669,0.0003696538,0.0001045607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01170003,0.003710813,0.07283482,0.0007266253,0.0004600163,0.0007589303,0.001235247,0.3381622,0.234653,0.0007823261,0.004171181,0.3308048],"study_design_scores_gemma":[0.001286053,0.01886929,0.24243,0.00006126103,0.0001510707,0.0004780536,0.0008300273,0.5766832,0.1530847,0.0005652977,0.005412117,0.0001490165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929744,0.00005874017,0.005195093,0.00002375509,0.000009046933,0.0000408388,0.0003112631,0.000280481,0.001106486],"genre_scores_gemma":[0.9976341,0.00001017309,0.001508267,0.000005915823,0.000002210497,0.00001096549,0.0004090244,0.00001326028,0.0004060583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005591643,"threshold_uncertainty_score":0.01111817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249572241575878,"score_gpt":0.2493904493179123,"score_spread":0.2368947269021535,"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."}}