{"id":"W7140635141","doi":"10.1109/fpl68686.2025.00027","title":"FPGA-Based MPSoCs for High-Performance Sensor Fusion: Accelerating Covariance Intersection","year":2025,"lang":"","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Intersection (aeronautics); Covariance; Acceleration; Noise (video); Minification; Action (physics); Stability (learning theory)","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":[0.0002660801,0.000665357,0.0003452465,0.0004380086,0.0004134901,0.0007753737,0.0007584502,0.0003069926,0.005340814],"category_scores_gemma":[0.000871244,0.0002482064,0.0002327665,0.000451962,0.0002347687,0.0008401129,0.0005729817,0.0006609068,0.0009608068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006051905,"about_ca_system_score_gemma":0.00105713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046443,"about_ca_topic_score_gemma":0.007051525,"domain_scores_codex":[0.999685,0.0000489907,0.00001478076,0.00006783845,0.0001199615,0.00006330521],"domain_scores_gemma":[0.9996921,0.00009411984,0.00003727497,0.00006155711,0.00009461797,0.00002028283],"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":[0.001460036,0.0002896472,0.004041641,0.0003825103,0.0002120218,0.0004246601,0.0002874329,0.1412091,0.1399953,0.03565816,0.0128442,0.6631954],"study_design_scores_gemma":[0.0001434843,0.0006939507,0.002151286,0.00008384181,0.0001022971,0.0005131077,0.0001754169,0.7462739,0.2085575,0.01243551,0.02881673,0.00005299661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1228018,0.00130307,0.8508602,0.0003898511,0.0003695989,0.0001287896,0.0002123859,0.005448886,0.01848537],"genre_scores_gemma":[0.750838,0.0002997846,0.2416207,0.0001429778,0.0000591404,0.000058577,0.0001812893,0.0001656798,0.006633809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005340814,"threshold_uncertainty_score":0.01786679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338141557452773,"score_gpt":0.2833658398892932,"score_spread":0.2495516841440159,"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."}}