{"id":"W4293817197","doi":"10.3390/robotics11040082","title":"Infrastructure-Aided Localization and State Estimation for Autonomous Mobile Robots","year":2022,"lang":"en","type":"article","venue":"Robotics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Mobile robot; Computer vision; Odometry; Visual odometry; Artificial intelligence; Robot; Computer science; Slip (aerodynamics); Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001848004,0.0006197314,0.0005892004,0.000530037,0.0003792307,0.0004907711,0.0009445116,0.000514363,0.001120022],"category_scores_gemma":[0.0007639789,0.000362451,0.0004271458,0.0004760233,0.0003417571,0.0007576069,0.001287976,0.0005740643,0.0006632718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004142942,"about_ca_system_score_gemma":0.001090318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007555431,"about_ca_topic_score_gemma":0.008430342,"domain_scores_codex":[0.9997306,0.00003032326,0.00001136581,0.00007011974,0.0001121383,0.00004548502],"domain_scores_gemma":[0.999815,0.00002922617,0.00004191382,0.00003392026,0.00006569076,0.00001420538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001624041,0.00009409337,0.002831093,0.0001709009,0.00007557371,0.0002989255,0.0003256065,0.5125565,0.04774499,0.008998554,0.003157296,0.4235841],"study_design_scores_gemma":[0.00001114156,0.00008868868,0.0009553012,0.00001219827,0.00001153253,0.0000769376,0.0000407498,0.9874822,0.006596455,0.001999859,0.002706813,0.00001807582],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008427698,0.0001159292,0.9895684,0.00002874485,0.00001791679,0.00001789319,0.0000266231,0.001096011,0.0007007333],"genre_scores_gemma":[0.7661242,0.0002806042,0.2301676,0.00004419623,0.00004912414,0.0001262087,0.0002584027,0.00007172718,0.002877863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007555431,"threshold_uncertainty_score":0.01502287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005753093801573095,"score_gpt":0.2056604018051638,"score_spread":0.1999073080035907,"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."}}