{"id":"W2108143221","doi":"10.1109/robot.1996.503576","title":"Vision-based robot localization without explicit object models","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Robot; Orientation (vector space); Metric (unit); Mobile robot; Pose; Translation (biology); Object (grammar); Set (abstract data type); Flexibility (engineering); Mathematics; Engineering","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":[0.0004771145,0.0007452665,0.001039317,0.0003635462,0.0003039725,0.0009100331,0.001262456,0.001379272,0.001306427],"category_scores_gemma":[0.001811561,0.0006410934,0.0005679852,0.0007996442,0.001148378,0.002492115,0.0009958963,0.0007945392,0.0006205317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007155638,"about_ca_system_score_gemma":0.0006729978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006181526,"about_ca_topic_score_gemma":0.005290317,"domain_scores_codex":[0.999713,0.00004510177,0.00001338608,0.00009454265,0.00009306971,0.00004085045],"domain_scores_gemma":[0.9996421,0.0001551427,0.00005798791,0.0000736876,0.00005472061,0.00001632496],"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":[0.0001368948,0.00006384374,0.000668709,0.0001427541,0.00005481684,0.0001910102,0.0000794821,0.8744535,0.01281808,0.01212049,0.001037689,0.09823278],"study_design_scores_gemma":[0.000009216466,0.00003461748,0.0002165042,0.00000491633,0.000009928322,0.00004731531,0.000007472931,0.9884834,0.002656752,0.007829799,0.0006909536,0.000009126255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01562736,0.0003896743,0.981688,0.0001935189,0.00003514206,0.00001609137,0.00003777726,0.0006846468,0.001327897],"genre_scores_gemma":[0.6925196,0.001126573,0.2990096,0.0001682467,0.0001306984,0.0001030065,0.0003019007,0.0001365589,0.006503767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006181526,"threshold_uncertainty_score":0.01229113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081551435106544,"score_gpt":0.2105661828172071,"score_spread":0.1897506684661416,"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."}}