{"id":"W2130107231","doi":"10.1109/cccrv.2004.1301439","title":"Vision-based multi-robot simultaneous localization and mapping","year":2004,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer vision; Robot; Artificial intelligence; Simultaneous localization and mapping; Computer science; Matching (statistics); Overhead (engineering); Planar; Single camera; Mobile robot; Computer graphics (images); Mathematics","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":[0.00004361564,0.0001179882,0.0001003504,0.00008713788,0.00006948884,0.00004949493,0.00003968898,0.00007539921,0.00002453263],"category_scores_gemma":[0.00003827906,0.000113927,0.00002073058,0.0001694173,0.00002402264,0.00005949575,0.000007145111,0.00005478082,0.00002316057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005670659,"about_ca_system_score_gemma":0.00001237116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003255105,"about_ca_topic_score_gemma":0.00003585325,"domain_scores_codex":[0.9994336,0.000008196591,0.0001663347,0.0001383675,0.000101625,0.0001518872],"domain_scores_gemma":[0.9997045,0.00004991565,0.00001408275,0.0001148185,0.00004514702,0.00007154764],"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":[0.000001677772,0.0000209679,0.0001415651,0.00004031396,0.000005361933,0.000008689597,0.00006404224,0.994654,0.002368068,0.0003565603,0.00002345705,0.002315305],"study_design_scores_gemma":[0.0006635312,0.00002398542,0.0001617945,0.00003974228,0.000005128443,0.000002331038,0.00003256941,0.994885,0.003421593,0.00008193032,0.0005260024,0.0001563637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01050004,0.00008938433,0.9884006,0.00008699206,0.0001073178,0.0001226671,0.000001469776,0.0003502877,0.0003412863],"genre_scores_gemma":[0.9684855,0.00002610213,0.03113532,0.0002285387,0.0000244321,0.000002336785,0.00002579181,0.00002959939,0.00004239706],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9579855,"threshold_uncertainty_score":0.4645807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030220656696196,"score_gpt":0.2165069539995697,"score_spread":0.2062047474326077,"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."}}