{"id":"W2783352722","doi":"10.1109/iris.2017.8250138","title":"Consistent multirobot localization using heuristically tuned extended Kalman filter","year":2017,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Kalman filter; Probabilistic logic; Computer science; Consistency (knowledge bases); Extended Kalman filter; Interdependence; Simultaneous localization and mapping; Robot; Artificial intelligence; Filter (signal processing); Mobile robot; Computer vision","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":[0.00007456266,0.0001565575,0.0001664062,0.00005426805,0.000289174,0.0001878715,0.0001483253,0.00009378933,0.0001682957],"category_scores_gemma":[0.0000980173,0.0001487848,0.00005487034,0.00003755959,0.00007172197,0.0001349068,0.0000347233,0.00007299805,0.00004414656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005413912,"about_ca_system_score_gemma":0.00001304326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005202561,"about_ca_topic_score_gemma":0.00002964256,"domain_scores_codex":[0.9991564,0.00001819946,0.0002579668,0.0001811929,0.0001592738,0.0002269422],"domain_scores_gemma":[0.9992533,0.00002492377,0.00004937278,0.0004763238,0.00009481009,0.0001012788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008503526,0.00003620774,0.001224295,0.00005433529,0.00003377976,0.0000181488,0.00004197876,0.9826872,0.007928809,0.005636175,0.0007203547,0.001610161],"study_design_scores_gemma":[0.0003879331,0.00001595327,0.003184226,0.0000310407,0.00002701749,0.000005560277,0.00001431202,0.9907616,0.004603213,0.0003091881,0.0004509239,0.0002089746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01629149,0.00002742228,0.9743041,0.00006555603,0.0004736789,0.0001600037,0.000004310853,0.0002309384,0.008442445],"genre_scores_gemma":[0.9853768,0.00001751855,0.01403715,0.0001229661,0.00008681578,0.000002874534,0.00002624124,0.00004162592,0.0002880182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9690853,"threshold_uncertainty_score":0.606727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03505667857566544,"score_gpt":0.2618054551430305,"score_spread":0.2267487765673651,"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."}}