{"id":"W2155682648","doi":"10.1109/ific.2000.859866","title":"Sensor data fusion using Kalman filter","year":2000,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer vision; Odometry; Sensor fusion; Kalman filter; Extended Kalman filter; Computer science; Sonar; Artificial intelligence; Mobile robot; SIGNAL (programming language); Robot; Simultaneous localization and mapping","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":[0.0002038756,0.00009468437,0.00009651561,0.00004324827,0.0001043913,0.0001112203,0.001383244,0.00003975157,0.00047443],"category_scores_gemma":[0.0000136845,0.00007899768,0.00001692919,0.0001994544,0.00001836357,0.0005806187,0.0004304887,0.00008051494,0.0005946876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001528314,"about_ca_system_score_gemma":0.00002945588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008876275,"about_ca_topic_score_gemma":7.6156e-7,"domain_scores_codex":[0.9989252,0.00004255138,0.0001406309,0.0004309556,0.0002185737,0.000242109],"domain_scores_gemma":[0.9986317,0.00004046443,0.00002458462,0.001209414,0.00001810163,0.00007577636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001005416,0.0001928203,0.001354823,0.00002047227,0.00004218778,0.000559213,0.001191984,0.02387227,0.007184232,0.001857185,0.05268342,0.9110314],"study_design_scores_gemma":[0.0001119671,0.00001352182,0.000939921,0.00001369477,0.00000286587,0.00009096578,0.000005244079,0.9894509,0.000236973,0.0001171513,0.008889887,0.0001269333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0167872,0.00002886892,0.9693333,0.0005049014,0.0002195905,0.00007508567,0.000007198159,0.0002916781,0.01275217],"genre_scores_gemma":[0.006695131,0.000004143015,0.9886128,0.0005767248,0.0001133843,4.809813e-7,0.00001292365,0.000007163309,0.003977291],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9655786,"threshold_uncertainty_score":0.7643705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0898081006643325,"score_gpt":0.3046306442318942,"score_spread":0.2148225435675617,"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."}}