{"id":"W2125363383","doi":"10.1109/ccece.2007.308","title":"Multiple Sensor Fusion in Mobile Robot Localization","year":2007,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Encoder; Mobile robot; Gyroscope; Sensor fusion; Computer science; Rotary encoder; Robot; Computer vision; Inertial measurement unit; Motion planning; Path (computing); Slippage; Artificial intelligence; Obstacle avoidance; Ultrasonic sensor; Engineering; Acoustics","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":[0.00121453,0.0004915794,0.0009178747,0.0008547645,0.0003171518,0.0007519241,0.0005288222,0.0008557787,0.0006582832],"category_scores_gemma":[0.002096774,0.0003179719,0.0005426061,0.00111547,0.000724786,0.001874114,0.0007712395,0.0006678426,0.0002788159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005062688,"about_ca_system_score_gemma":0.0003152063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515958,"about_ca_topic_score_gemma":0.0009740647,"domain_scores_codex":[0.9990995,0.0003755392,0.0000425412,0.0001247185,0.000299011,0.00005867792],"domain_scores_gemma":[0.9994665,0.0002970573,0.00005463488,0.00005378528,0.0001129313,0.00001500307],"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":[0.0002320652,0.00004561254,0.0008381718,0.0003741236,0.0001244769,0.0003229625,0.0002421525,0.5498976,0.01541783,0.03967113,0.001596627,0.3912373],"study_design_scores_gemma":[0.00001315468,0.0001183639,0.0004379066,0.00003947596,0.00003301084,0.0001477751,0.0000537921,0.9660785,0.006017625,0.0227708,0.004252301,0.00003739498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006572432,0.003181784,0.9886241,0.0001881969,0.0000921853,0.00001365851,0.00001125708,0.0002483192,0.001067922],"genre_scores_gemma":[0.6913566,0.005523162,0.2996344,0.0001386605,0.0003065381,0.00007619883,0.00007179029,0.00005569114,0.002837016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001515958,"threshold_uncertainty_score":0.006423175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008432172866208941,"score_gpt":0.2142213823000449,"score_spread":0.205789209433836,"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."}}